{"id":4856,"date":"2020-06-30T15:19:26","date_gmt":"2020-06-30T20:19:26","guid":{"rendered":"http:\/\/bluerockdesigns.info\/?page_id=4856"},"modified":"2023-09-13T10:14:15","modified_gmt":"2023-09-13T15:14:15","slug":"digital-evidence","status":"publish","type":"page","link":"https:\/\/forensicstats.org\/digital-evidence\/","title":{"rendered":"Digital Evidence"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"4856\" class=\"elementor elementor-4856\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-71d17072 elementor-section-stretched elementor-section-height-min-height elementor-section-items-bottom elementor-section-content-bottom elementor-section-boxed elementor-section-height-default\" data-id=\"71d17072\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[{&quot;_id&quot;:&quot;9039f53&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;33&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_z_index&quot;:&quot;0&quot;,&quot;jet_parallax_layout_bg_x&quot;:&quot;0&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;75&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;cover&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;bgposition&quot;,&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-62b085dc\" data-id=\"62b085dc\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-10909f64 elementor-widget elementor-widget-text-editor\" data-id=\"10909f64\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h1>Digital Evidence<\/h1>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7d3d0b55 elementor-section-stretched elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"7d3d0b55\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;_id&quot;:&quot;01b7a88&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;50&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_bg_x&quot;:&quot;50&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;50&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}],&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-2d926c4a\" data-id=\"2d926c4a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-13c01212 elementor-widget elementor-widget-text-editor\" data-id=\"13c01212\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h2><strong>Overarching<\/strong> GOALS<\/h2><p>From the outset, CSAFE and NIST set out to address the growing demand for forensics tools and methods specifically for digital evidence \u2013\u2013 all built on strong probabilistic and statistics foundations.<\/p><p>Digital devices play a central role in modern society and\u00a0 criminal investigations requiring examination of digital devices and digital artifacts are common.\u00a0<\/p><p>Examples of digital evidence based activities of forensic experts include detecting the use of steganographic algorithms by criminals to hide illicit text or images in otherwise innocent pictures or videos, recovering illicit data\/software hidden on phones\/tablets, and examining digital traces of user activity (e.g., messages\/texts, login events) for signs of criminal activity.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"raven-column-link elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-224af2ec\" data-raven-link=\"#knowledgetransfer\" data-raven-link-target=\"_self\" data-id=\"224af2ec\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-238fff4a elementor-widget elementor-widget-text-editor\" data-id=\"238fff4a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h4><span style=\"color: #8bc340\">Looking for<\/span><\/h4><h3>WEBINARS, <br \/>Short courses, presentations or publications<\/h3><h4><span style=\"color: #8bc340\">on Digital Evidence?<\/span><\/h4>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-39a9eef8 elementor-align-left elementor-widget elementor-widget-button\" data-id=\"39a9eef8\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#knowledgetransfer\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Knowledge Transfer<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2c5196c8 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2c5196c8\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;_id&quot;:&quot;eac8c8a&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;50&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_bg_x&quot;:&quot;50&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;50&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-41a807fc\" data-id=\"41a807fc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6ba28f89 elementor-widget elementor-widget-jet-team-member\" data-id=\"6ba28f89\" data-element_type=\"widget\" data-widget_type=\"jet-team-member.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"elementor-jet-team-member jet-elements\"><div class=\"jet-team-member\">\n\t<div class=\"jet-team-member__inner\">\n\t\t<div class=\"jet-team-member__image\">\n\t\t\t<div class=\"jet-team-member__cover\"><\/div>\n\t\t\t<figure class=\"jet-team-member__figure\"><img fetchpriority=\"high\" decoding=\"async\" width=\"500\" height=\"500\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/JenniferNewman_web.jpg\" class=\"jet-team-member__img-tag\" alt=\"JenniferNewman_web\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/JenniferNewman_web.jpg 500w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/JenniferNewman_web-300x300.jpg 300w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/JenniferNewman_web-150x150.jpg 150w\" sizes=\"(max-width: 500px) 100vw, 500px\" itemprop=\"image\" \/><\/figure>\t\t<\/div>\n\t\t<div class=\"jet-team-member__content\"><h4 class=\"jet-team-member__name\"><span class=\"jet-team-member__name-first\">Jennifer<\/span><span class=\"jet-team-member__name-last\"> Newman<\/span><\/h4><div class=\"jet-team-member__position\"><span>Professor <\/span><\/div><p class=\"jet-team-member__desc\">Iowa State University \n<\/p><div class=\"jet-team-member__socials\"><div class=\"jet-team-member__socials-item\"><a href=\"mailto:jlnewman@iastate.edu\" aria-label=\"Email\" target=\"_blank\"><div class=\"jet-team-member__socials-icon\"><div class=\"inner\"><span class=\"jet-elements-icon\"><i aria-hidden=\"true\" class=\"fas fa-envelope\"><\/i><\/span><\/div><\/div><\/a><\/div><\/div><\/div>\n\t<\/div>\n<\/div>\n<\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-357249e6\" data-id=\"357249e6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-db367a4 elementor-widget elementor-widget-jet-team-member\" data-id=\"db367a4\" data-element_type=\"widget\" data-widget_type=\"jet-team-member.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"elementor-jet-team-member jet-elements\"><div class=\"jet-team-member\">\n\t<div class=\"jet-team-member__inner\">\n\t\t<div class=\"jet-team-member__image\">\n\t\t\t<div class=\"jet-team-member__cover\"><\/div>\n\t\t\t<figure class=\"jet-team-member__figure\"><img decoding=\"async\" width=\"500\" height=\"531\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/PadhraicSmyth_web.jpg\" class=\"jet-team-member__img-tag\" alt=\"PadhraicSmyth_web\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/PadhraicSmyth_web.jpg 500w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/PadhraicSmyth_web-282x300.jpg 282w\" sizes=\"(max-width: 500px) 100vw, 500px\" itemprop=\"image\" \/><\/figure>\t\t<\/div>\n\t\t<div class=\"jet-team-member__content\"><h4 class=\"jet-team-member__name\"><span class=\"jet-team-member__name-first\">Padhraic<\/span><span class=\"jet-team-member__name-last\"> Smyth<\/span><\/h4><div class=\"jet-team-member__position\"><span>Chancellor's Professor<\/span><\/div><p class=\"jet-team-member__desc\">University of California, Irvine<\/p><div class=\"jet-team-member__socials\"><div class=\"jet-team-member__socials-item\"><a href=\"mailto:smyth@ics.uci.edu%20\" aria-label=\"Email\" target=\"_blank\"><div class=\"jet-team-member__socials-icon\"><div class=\"inner\"><span class=\"jet-elements-icon\"><i aria-hidden=\"true\" class=\"fas fa-envelope\"><\/i><\/span><\/div><\/div><\/a><\/div><\/div><\/div>\n\t<\/div>\n<\/div>\n<\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-db808f6\" data-id=\"db808f6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7c6f2c63 elementor-widget elementor-widget-jet-team-member\" data-id=\"7c6f2c63\" data-element_type=\"widget\" data-widget_type=\"jet-team-member.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"elementor-jet-team-member jet-elements\"><div class=\"jet-team-member\">\n\t<div class=\"jet-team-member__inner\">\n\t\t<div class=\"jet-team-member__image\">\n\t\t\t<div class=\"jet-team-member__cover\"><\/div>\n\t\t\t<figure class=\"jet-team-member__figure\"><img decoding=\"async\" width=\"200\" height=\"200\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/YongGuan1_square.jpg\" class=\"jet-team-member__img-tag\" alt=\"YongGuan1_square\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/YongGuan1_square.jpg 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/YongGuan1_square-150x150.jpg 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/figure>\t\t<\/div>\n\t\t<div class=\"jet-team-member__content\"><h4 class=\"jet-team-member__name\"><span class=\"jet-team-member__name-first\">Yong<\/span><span class=\"jet-team-member__name-last\"> Guan <\/span><\/h4><div class=\"jet-team-member__position\"><span>Professor <\/span><\/div><p class=\"jet-team-member__desc\">Iowa State University \n<\/p><div class=\"jet-team-member__socials\"><div class=\"jet-team-member__socials-item\"><a href=\"mailto:guan@iastate.edu\" aria-label=\"Email\" target=\"_blank\"><div class=\"jet-team-member__socials-icon\"><div class=\"inner\"><span class=\"jet-elements-icon\"><i aria-hidden=\"true\" class=\"fas fa-envelope\"><\/i><\/span><\/div><\/div><\/a><\/div><\/div><\/div>\n\t<\/div>\n<\/div>\n<\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ba518b2 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ba518b2\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;_id&quot;:&quot;eac8c8a&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;50&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_bg_x&quot;:&quot;50&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;50&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-d7ed82b\" data-id=\"d7ed82b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-428fab8 elementor-widget elementor-widget-jet-team-member\" data-id=\"428fab8\" data-element_type=\"widget\" data-widget_type=\"jet-team-member.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"elementor-jet-team-member jet-elements\"><div class=\"jet-team-member\">\n\t<div class=\"jet-team-member__inner\">\n\t\t<div class=\"jet-team-member__image\">\n\t\t\t<div class=\"jet-team-member__cover\"><\/div>\n\t\t\t<figure class=\"jet-team-member__figure\"><img loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"500\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/10\/reinders-stephanie.jpg\" class=\"jet-team-member__img-tag\" alt=\"Stephanie Reinders\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/10\/reinders-stephanie.jpg 500w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/10\/reinders-stephanie-300x300.jpg 300w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/10\/reinders-stephanie-150x150.jpg 150w\" sizes=\"(max-width: 500px) 100vw, 500px\" itemprop=\"image\" \/><\/figure>\t\t<\/div>\n\t\t<div class=\"jet-team-member__content\"><h4 class=\"jet-team-member__name\"><span class=\"jet-team-member__name-first\">Stephanie<\/span><span class=\"jet-team-member__name-last\"> Reinders<\/span><\/h4><div class=\"jet-team-member__position\"><span>Research Scientist<\/span><\/div><p class=\"jet-team-member__desc\">Iowa State University \n<\/p><div class=\"jet-team-member__socials\"><div class=\"jet-team-member__socials-item\"><a href=\"mailto:srein@iastate.edu\" aria-label=\"Email\" target=\"_blank\"><div class=\"jet-team-member__socials-icon\"><div class=\"inner\"><span class=\"jet-elements-icon\"><i aria-hidden=\"true\" class=\"fas fa-envelope\"><\/i><\/span><\/div><\/div><\/a><\/div><\/div><\/div>\n\t<\/div>\n<\/div>\n<\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-1be7602\" data-id=\"1be7602\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-489db5d elementor-widget elementor-widget-jet-team-member\" data-id=\"489db5d\" data-element_type=\"widget\" data-widget_type=\"jet-team-member.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"elementor-jet-team-member jet-elements\"><div class=\"jet-team-member\">\n\t<div class=\"jet-team-member__inner\">\n\t\t<div class=\"jet-team-member__image\">\n\t\t\t<div class=\"jet-team-member__cover\"><\/div>\n\t\t\t<figure class=\"jet-team-member__figure\"><img loading=\"lazy\" decoding=\"async\" width=\"1602\" height=\"1602\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437.jpg\" class=\"jet-team-member__img-tag\" alt=\"Alicia Carriquiry\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437.jpg 1602w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-300x300.jpg 300w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-1024x1024.jpg 1024w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-150x150.jpg 150w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-768x768.jpg 768w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-1536x1536.jpg 1536w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-500x500.jpg 500w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-550x550.jpg 550w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-1100x1100.jpg 1100w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-225x225.jpg 225w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-200x200.jpg 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-400x400.jpg 400w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-260x260.jpg 260w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-600x600.jpg 600w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-1200x1200.jpg 1200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-1280x1280.jpg 1280w, https:\/\/forensicstats.org\/wp-content\/uploads\/2022\/12\/077-IMG_3415-e1669913330437-414x414.jpg 414w\" sizes=\"(max-width: 1602px) 100vw, 1602px\" itemprop=\"image\" \/><\/figure>\t\t<\/div>\n\t\t<div class=\"jet-team-member__content\"><h4 class=\"jet-team-member__name\"><span class=\"jet-team-member__name-first\">Alicia<\/span><span class=\"jet-team-member__name-last\"> Carriquiry<\/span><\/h4><div class=\"jet-team-member__position\"><span> Distinguished Professor and President\u2019s Chair, Director of CSAFE<\/span><\/div><p class=\"jet-team-member__desc\">Iowa State University \n<\/p><div class=\"jet-team-member__socials\"><div class=\"jet-team-member__socials-item\"><a href=\"mailto:alicia@iastate.edu\" aria-label=\"Email\" target=\"_blank\"><div class=\"jet-team-member__socials-icon\"><div class=\"inner\"><span class=\"jet-elements-icon\"><i aria-hidden=\"true\" class=\"fas fa-envelope\"><\/i><\/span><\/div><\/div><\/a><\/div><\/div><\/div>\n\t<\/div>\n<\/div>\n<\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-7ca7fc5\" data-id=\"7ca7fc5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ced401f elementor-widget elementor-widget-jet-team-member\" data-id=\"ced401f\" data-element_type=\"widget\" data-widget_type=\"jet-team-member.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"elementor-jet-team-member jet-elements\"><div class=\"jet-team-member\">\n\t<div class=\"jet-team-member__inner\">\n\t\t<div class=\"jet-team-member__image\">\n\t\t\t<div class=\"jet-team-member__cover\"><\/div>\n\t\t\t<figure class=\"jet-team-member__figure\"><img loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"500\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/DanicaOmmen_web.jpg\" class=\"jet-team-member__img-tag\" alt=\"DanicaOmmen_web\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/DanicaOmmen_web.jpg 500w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/DanicaOmmen_web-300x300.jpg 300w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/09\/DanicaOmmen_web-150x150.jpg 150w\" sizes=\"(max-width: 500px) 100vw, 500px\" itemprop=\"image\" \/><\/figure>\t\t<\/div>\n\t\t<div class=\"jet-team-member__content\"><h4 class=\"jet-team-member__name\"><span class=\"jet-team-member__name-first\">Danica<\/span><span class=\"jet-team-member__name-last\"> Ommen<\/span><\/h4><div class=\"jet-team-member__position\"><span>Associate Professor<\/span><\/div><p class=\"jet-team-member__desc\">Iowa State University<\/p><div class=\"jet-team-member__socials\"><div class=\"jet-team-member__socials-item\"><a href=\"mailto:dmommen@iastate.edu\" aria-label=\"Email\" target=\"_blank\"><div class=\"jet-team-member__socials-icon\"><div class=\"inner\"><span class=\"jet-elements-icon\"><i aria-hidden=\"true\" class=\"fas fa-envelope\"><\/i><\/span><\/div><\/div><\/a><\/div><\/div><\/div>\n\t<\/div>\n<\/div>\n<\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7c7b338e elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7c7b338e\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;_id&quot;:&quot;b0d6f45&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;50&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_bg_x&quot;:&quot;50&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;50&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-23f6bbba\" data-id=\"23f6bbba\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7cbfe231 elementor-widget elementor-widget-text-editor\" data-id=\"7cbfe231\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h4><span style=\"color: #cd202f\">Additional Team Members<\/span><\/h4>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-6943d85f elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"6943d85f\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;_id&quot;:&quot;25bf08a&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;50&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_bg_x&quot;:&quot;50&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;50&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-inner-column elementor-element elementor-element-3a215700\" data-id=\"3a215700\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2500458 elementor-widget elementor-widget-text-editor\" data-id=\"2500458\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"color: #1b3d6e\"><strong>Roy Maxion <br \/><\/strong><\/span>maxion@cs.cmu.edu<strong><br \/><\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-inner-column elementor-element elementor-element-215f995c\" data-id=\"215f995c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3f4b9636 elementor-widget elementor-widget-text-editor\" data-id=\"3f4b9636\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"color: #1b3d6e\"><strong>Hal S. Stern<br \/><\/strong><\/span> sternh@uci.edu<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-inner-column elementor-element elementor-element-74cd2682\" data-id=\"74cd2682\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b2405e5 elementor-widget elementor-widget-text-editor\" data-id=\"b2405e5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"color: #1b3d6e\"><strong>Li Lin<\/strong><\/span><br \/>llin@iastate.edu<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-inner-column elementor-element elementor-element-ba63ba2\" data-id=\"ba63ba2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ba38251 elementor-widget elementor-widget-text-editor\" data-id=\"ba38251\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"color: #1b3d6e\"><strong>Barbara Guttmann (NIST)<\/strong><\/span> barbara.guttman@nist.gov<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-54f3cab6 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"54f3cab6\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;_id&quot;:&quot;c0c6b55&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;50&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_bg_x&quot;:&quot;50&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;50&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}],&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-65d9cff3\" data-id=\"65d9cff3\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-4baddb47 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"4baddb47\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;_id&quot;:&quot;a9bdc2b&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;50&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_bg_x&quot;:&quot;50&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;50&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-a53408a\" data-id=\"a53408a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-196b5cea elementor-widget elementor-widget-text-editor\" data-id=\"196b5cea\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h2>focus <strong>Areas<\/strong><\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-7f4c62cd elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"7f4c62cd\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;_id&quot;:&quot;9c61a71&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;50&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_bg_x&quot;:&quot;50&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;50&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-6d2db33b\" data-id=\"6d2db33b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-180129fb elementor-widget elementor-widget-toggle\" data-id=\"180129fb\" data-element_type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-4021\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-4021\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" data-name=\"Layer 1\" viewBox=\"0 0 38 38\"><defs><style>.cls-1{fill:none;stroke:#068244;stroke-miterlimit:10;}.cls-2{fill:#068244;}<\/style><\/defs><title>plussign<\/title><circle class=\"cls-1\" cx=\"19\" cy=\"19\" r=\"18.5\"><\/circle><path class=\"cls-2\" d=\"M346.89,147.6h-6.37v6.27h-2.94V147.6h-6.37v-2.76h6.37v-6.3h2.94v6.3h6.37Z\" transform=\"translate(-319.82 -127.7)\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" data-name=\"Layer 1\" viewBox=\"0 0 38 38\"><defs><style>.cls-1{fill:none;stroke:#cd2030;stroke-miterlimit:10;}.cls-2{fill:#cd2030;}<\/style><\/defs><title>minussign<\/title><circle class=\"cls-1\" cx=\"19\" cy=\"19\" r=\"18.5\"><\/circle><path class=\"cls-2\" d=\"M336.08,147.39h9.42v2.91h-9.42Z\" transform=\"translate(-321.56 -129.7)\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Project DIG.I \u2013 Steganography Forensics<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-4021\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-4021\"><p>The CSAFE team at ISU has developed and made public a reference dataset, StegoAppDB, comprised of more than 960,000 highly-provenanced image data created using our unique approach of modeling the steganography (stego) software applications (because their algorithms are not public). The data is used to develop and test algorithms and create new models of the camera pipeline. The next generation of algorithms for detecting hidden images will rely on deep learning algorithms with millions of free parameters (see, e.g., Boroumand et al., 2019). We are growing the database substantially through automation of the image data collection and stego creation process, such as using a drone to collect copious amounts of image data \u2014 in order to allow investigators to work with deep learning methods.<\/p><p>Steganography is a tool to send a secret message hidden in a common medium, like a digital image, so that the very existence of the payload escapes notice. The effort to hide and detect payload are inverse: a developer can easily create an app to hide payload, while steganalysis, or detection of hidden content, by a forensic image analyst requires expert knowledge and often extensive resources. Hundreds of thousands of stego apps have been downloaded for mobile devices, yet, until recently, steganalysis has appeared mainly in academic settings and not specifically for mobile apps.<\/p><p>In CSAFE 1.0, our project focused on the careful construction of the first forensic reference database for stego images created from mobile apps, producing <i>StegoAppDB<\/i>. StegoAppDB has more than 960,000 innocent and stego images, is fully provenanced and copyright-free, and publicly available online. However, StegoAppDB contains only indoor scenes, a limited number of distinct scenes, and a limited number of auto exposure images. For CSAFE 2.0, we propose to add image data selectively to enhance the attractiveness of StegoAppDB for wider use in the forensic imaging community, in the following manner:<\/p><ol><li>Add several million outdoor images so that the most successful machine learning techniques, deep learning neural networks, have access to ample data.<\/li><li>Add images that have been photo-edited before embedding payload, which we suspect is a common occurrence. In fact, it is speculated that image editing operations may affect steganalysis error rates, but little to nothing is known about this, and certainly nothing for mobile stego images.<\/li><li>Include stego apps beyond those currently in StegoAppDB and create an in-house detection tool for verification of our stego process, since no software package exists specifically to detect stego images created with mobile stego apps. We will use emulators and reverse engineering for the stego app analysis to retain accurate parameters for data provenance.<\/li><\/ol><p>Our goal is to acquire outdoor scene data in a resource-efficient manner using a car, a bike, and\/or a robot, with our in-house camera app <i>Cameraw,<\/i> taking many photos in an automated fashion, using simple and inexpensive mounts.<\/p><p>To establish support in and partnership with the practitioner community, we propose to conduct a brief survey at the beginning of the project. Its goal is to obtain information on the status quo of steganography in the digital evidence community and establish connections with labs to identify their needs as related to steganography. During meetings at SWGDE in 2019, the PI met Glenn Cavin, Lieutenant, Plano Police Department, Plano, Texas, who has provided a letter of support for his interest in this project. Additionally, note that the detection tool could be of potential interest to forensic practitioners.<\/p><p>The expanded database from combinations of these three image generation methods will allow users access to more realistically simulated evidence for mobile steganography and provide a source of data for tool development of mobile steganalysis. The in-house detection tool might provide insight for such a tool in the long-term.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-4022\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-4022\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" data-name=\"Layer 1\" viewBox=\"0 0 38 38\"><defs><style>.cls-1{fill:none;stroke:#068244;stroke-miterlimit:10;}.cls-2{fill:#068244;}<\/style><\/defs><title>plussign<\/title><circle class=\"cls-1\" cx=\"19\" cy=\"19\" r=\"18.5\"><\/circle><path class=\"cls-2\" d=\"M346.89,147.6h-6.37v6.27h-2.94V147.6h-6.37v-2.76h6.37v-6.3h2.94v6.3h6.37Z\" transform=\"translate(-319.82 -127.7)\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" data-name=\"Layer 1\" viewBox=\"0 0 38 38\"><defs><style>.cls-1{fill:none;stroke:#cd2030;stroke-miterlimit:10;}.cls-2{fill:#cd2030;}<\/style><\/defs><title>minussign<\/title><circle class=\"cls-1\" cx=\"19\" cy=\"19\" r=\"18.5\"><\/circle><path class=\"cls-2\" d=\"M336.08,147.39h9.42v2.91h-9.42Z\" transform=\"translate(-321.56 -129.7)\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Project DIG.II \u2013 Statistical Modeling of Digital Event Data<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-4022\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-4022\"><p>The goal of this project is to develop new statistical methodologies to support digital forensics in analysis of user-generated event data \u2014 focusing on native or cloud-based logged event data from devices such as computers and mobile phones, typically of the form &lt;accountID, timestamp, geolocation, metadata&gt;. The types of forensic questions to be addressed will focus on identity-related questions, such as whether two sets of geolocation events were generated by the same individual or by two different individuals.<\/p><p>The rapid increase in the use of digital devices in the past decade has resulted in significant new challenges for digital forensics. In this context, the goal of this project is to develop new statistical methodologies to support digital forensics in analysis of user-generated event data. The project will focus on native or cloud-based logged event data from devices such as computers and mobile phones, typically of the form &lt;accountID, timestamp, geolocation, metadata&gt;. The types of forensic questions to be addressed will focus on identity-related questions, such as whether two sets of geolocation events were generated by the same individual or by two different individuals. Traditional approaches in statistical forensics, such as likelihood ratios and score-based likelihood ratios, will be extended to handle user-generated event data, particularly data with spatial and spatio-temporal information, building on our prior work in Phase 1 of CSAFE. The extensions will require development of robust and accurate new probabilistic models and fast new algorithms for large data sets. The project will use a variety of different real-world user event datasets as testbeds for development and evaluation. Deliverables from the project will include research papers, tutorial webinars, public testbed datasets and open-source software.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-4023\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-4023\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" data-name=\"Layer 1\" viewBox=\"0 0 38 38\"><defs><style>.cls-1{fill:none;stroke:#068244;stroke-miterlimit:10;}.cls-2{fill:#068244;}<\/style><\/defs><title>plussign<\/title><circle class=\"cls-1\" cx=\"19\" cy=\"19\" r=\"18.5\"><\/circle><path class=\"cls-2\" d=\"M346.89,147.6h-6.37v6.27h-2.94V147.6h-6.37v-2.76h6.37v-6.3h2.94v6.3h6.37Z\" transform=\"translate(-319.82 -127.7)\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" data-name=\"Layer 1\" viewBox=\"0 0 38 38\"><defs><style>.cls-1{fill:none;stroke:#cd2030;stroke-miterlimit:10;}.cls-2{fill:#cd2030;}<\/style><\/defs><title>minussign<\/title><circle class=\"cls-1\" cx=\"19\" cy=\"19\" r=\"18.5\"><\/circle><path class=\"cls-2\" d=\"M336.08,147.39h9.42v2.91h-9.42Z\" transform=\"translate(-321.56 -129.7)\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Project DIG.III \u2013 Mobile App Evidence Forensic Analysis<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-4023\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-4023\"><p>With the EviHunter tools, we are constructing a prototype Android App Evidence Database. In Phase II of the project we plan to extend EviHunter to be able to analyze complex features of Android apps caused by addressing current challenges. With the EviHunter technologies and AED, we expect that forensic investigators will improve their case work in terms of better efficiency, precision and completeness.<\/p><p>The plethora of mobile apps has introduced significant challenges to digital forensics practitioners, due to the large number and diversity of apps, for example over 2.6 million apps on Google Play plus many other apps available from 53 other app stores across the world. The average smartphone user has more than 80 apps on their phone and uses close to 40 of them each month. One chilling fact is that the lack of expert-knowledge about these large number and various types of apps has led to the practitioners\u2019 challenges, including the inability of keeping up with the quick updates of apps on the app markets, discover critical and relevant evidence, or common problems of large casework backlogs in crime labs.<\/p><p>We propose this project that ultimately aims to develop EviHunter, a new path-, context-, flow-sensitive Android application program analysis tool set, to report the list of forensic relevant evidential data generated from the Android apps on a mobile device, by parsing the mobile application installation package using both static and dynamic approaches. During the first five years of the CSAFE project, we developed automated Android app program analysis tools to discover most (if not all) evidential data generated by the apps from a suspect\u2019s mobile device or a remote cloud server. We have developed an award-winning EviHunter toolset (published at ACM CCS 2018 and IEEE SADFE 2018), and with the EviHunter tools, we are constructing a prototype Android App Evidence Database. In the next three years of the project (CSAFE Phase II), we plan to extend EviHunter to be able to analyze complex features of Android apps caused by addressing the following challenges: (1) software obfuscation, (2) limited capability of Soot in generating call graphs, (3) packing\/unpacking of apps, (4) native code\/3rd-libraries, (5) adapting dynamic Monkey-based tool into better supporting for dynamic EviHunter, and (6) building a better and more complete list of source\/sink methods. Also, we will review the design of the prototyped EviHunter tools to optimize the code implementation to reduce the memory space usage and improve the computation complexity. With the deeper knowledge of evidence types and their frequency of usage, we plan to apply statistical methods to focus on more critical program paths inside the apps to speed up the app analysis process.<\/p><p>We also plan to continue to collect and construct (likely the largest) Android App Evidence Database. We will work with Iowa State University Legal Counsel to examine the potential legal issues and make the database accessible to the practitioners.<\/p><p>With the EviHunter technologies and AED, we expect that forensic investigators will improve their case work in terms of better efficiency, precision and completeness, compared against the current mobile device forensic practice that performs (to some extent) a manual process via Cellebrite and other mobile forensic tools. In an ideal case, we hope to reduce the case time (on a mobile device) from one or two days to 10-15 minutes, which will significantly make the practitioners\u2019 life easier.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-4024\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"button\" aria-controls=\"elementor-tab-content-4024\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" data-name=\"Layer 1\" viewBox=\"0 0 38 38\"><defs><style>.cls-1{fill:none;stroke:#068244;stroke-miterlimit:10;}.cls-2{fill:#068244;}<\/style><\/defs><title>plussign<\/title><circle class=\"cls-1\" cx=\"19\" cy=\"19\" r=\"18.5\"><\/circle><path class=\"cls-2\" d=\"M346.89,147.6h-6.37v6.27h-2.94V147.6h-6.37v-2.76h6.37v-6.3h2.94v6.3h6.37Z\" transform=\"translate(-319.82 -127.7)\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Layer_1\" data-name=\"Layer 1\" viewBox=\"0 0 38 38\"><defs><style>.cls-1{fill:none;stroke:#cd2030;stroke-miterlimit:10;}.cls-2{fill:#cd2030;}<\/style><\/defs><title>minussign<\/title><circle class=\"cls-1\" cx=\"19\" cy=\"19\" r=\"18.5\"><\/circle><path class=\"cls-2\" d=\"M336.08,147.39h9.42v2.91h-9.42Z\" transform=\"translate(-321.56 -129.7)\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Project DIG.IV \u2013 Quantifying the Strength of Camera Identification Evidence with Score-based Likelihood Ratios<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-4024\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"region\" aria-labelledby=\"elementor-tab-title-4024\"><p>This project addresses two scenarios. In the <em>specific source<\/em> scenario, an investigator has two pieces of evidence: a questioned image Q from an unknown camera and a person of interest\u2019s (POI\u2019s) phone. The investigator wants to determine whether Q was captured by a camera on the POI\u2019s phone. In the <em>common source<\/em> scenario, an investigator has two questioned images Q1 and Q2 from unknown cameras and the investigator wants to determine whether Q1 and Q2 were taken by the same camera. We plan to develop and test an objective, reproducible score-based likelihood ratio (SLR) approach to quantify the similarity between a questioned image Q and a camera fingerprint K from the POI\u2019s phone (specific source scenario) or between two questioned images Q1 and Q2 (common source scenario) on a large, authenticated image dataset that includes multi-camera phones. This approach will enable the investigator to both determine whether image Q originated from a camera on the POI\u2019s phone and to quantify the strength of the evidence.<\/p><p>Currently available authenticated image datasets from mobile phones are limited in the number of models and don\u2019t contain adequate numbers of images for analysis from each available camera on the device. We plan to augment available datasets with authenticated images from a wide variety of phone brands and models, that include multiple phones of each model, and multiple images from each camera on each phone.<\/p><p>Our preliminary results addressing the specific source scenario on a small set of phones shows that if questioned image Q and camera fingerprint K are from cameras of the same model, calculating SLRs with a reference set of close non-matching phones (phones of the same model as the POI\u2019s phone) produces the lowest rate of false inclusions. However, if Q and K are from different models a reference set of close non-matching phones can lead to a higher false inclusion rate than a reference set that uses a variety of models and brands. Thus, knowing the phone model that captured Q is important knowledge for the investigator. If this result persists on the larger dataset, we will develop a method to estimate the likelihood that Q originated from a specific brand and model of phone. <\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-32c75105 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"32c75105\" data-element_type=\"section\" id=\"knowledgetransfer\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;_id&quot;:&quot;e965d4f&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;50&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_bg_x&quot;:&quot;50&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;50&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}],&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-25218d4a\" data-id=\"25218d4a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-12c41ad9 elementor-widget elementor-widget-text-editor\" data-id=\"12c41ad9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h2>Knowledge transfer<\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-e2581cb elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e2581cb\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;_id&quot;:&quot;edfb720&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;50&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_bg_x&quot;:&quot;50&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;50&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-ad21299\" data-id=\"ad21299\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bb08ad2 elementor-widget elementor-widget-shortcode\" data-id=\"bb08ad2\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\"><form data-sf-form-id='5295' data-is-rtl='0' data-maintain-state='' data-results-url='https:\/\/forensicstats.org\/digital-evidence\/' data-ajax-url='https:\/\/forensicstats.org\/?sfid=5295&amp;sf_action=get_data&amp;sf_data=all' data-ajax-form-url='https:\/\/forensicstats.org\/?sfid=5295&amp;sf_action=get_data&amp;sf_data=form' data-display-result-method='shortcode' data-use-history-api='1' data-template-loaded='0' data-lang-code='en' data-ajax='1' data-ajax-data-type='json' data-ajax-links-selector='.pagination a' data-ajax-target='#search-filter-results-5295' data-ajax-pagination-type='normal' data-update-ajax-url='1' data-only-results-ajax='1' data-scroll-to-pos='0' data-init-paged='1' data-auto-update='1' data-auto-count='1' data-auto-count-refresh-mode='1' action='https:\/\/forensicstats.org\/digital-evidence\/' method='post' class='searchandfilter' id='search-filter-form-5295' autocomplete='off' data-instance-count='1'><ul><li class=\"sf-field-search\" data-sf-field-name=\"search\" data-sf-field-type=\"search\" data-sf-field-input-type=\"\">\t\t<label>\n\t\t\t\t   \t\t\t<span class=\"screen-reader-text\">Search<\/span><input placeholder=\"Search \u2026\" name=\"_sf_search[]\" class=\"sf-input-text\" type=\"text\" value=\"\" title=\"Search\"><\/label>\t\t<\/li><li class=\"sf-field-post-meta-audience\" data-sf-field-name=\"_sfm_audience\" data-sf-field-type=\"post_meta\" data-sf-field-input-type=\"checkbox\" data-sf-meta-type=\"choice\"><h4>Audience<\/h4>\t\t<ul data-operator=\"or\" class=\"\">\n\t\t\t\t\t  <li class=\"sf-level-0 \" data-sf-count=\"60\" data-sf-depth=\"0\"><input  class=\"sf-input-checkbox\" type=\"checkbox\" value=\"Forensic Science Professional\" name=\"_sfm_audience[]\" id=\"sf-input-a624c97fbf125f7e397e9bdf244382b3\"><label class=\"sf-label-checkbox\" for=\"sf-input-a624c97fbf125f7e397e9bdf244382b3\">Forensic Science Professional<\/label><\/li><li class=\"sf-level-0 \" data-sf-count=\"34\" data-sf-depth=\"0\"><input  class=\"sf-input-checkbox\" type=\"checkbox\" value=\"Legal Community\" name=\"_sfm_audience[]\" id=\"sf-input-96dd2ce5a8f2e5fa4ee8b5c3936afb71\"><label class=\"sf-label-checkbox\" for=\"sf-input-96dd2ce5a8f2e5fa4ee8b5c3936afb71\">Legal Community<\/label><\/li><li class=\"sf-level-0 \" data-sf-count=\"50\" data-sf-depth=\"0\"><input  class=\"sf-input-checkbox\" type=\"checkbox\" value=\"Students\" name=\"_sfm_audience[]\" id=\"sf-input-c93715f9eb5e5e52fc486bb4ccbd0fc2\"><label class=\"sf-label-checkbox\" for=\"sf-input-c93715f9eb5e5e52fc486bb4ccbd0fc2\">Students<\/label><\/li>\t\t<\/ul>\n\t\t<\/li><li class=\"sf-field-taxonomy-portfolio_category\" data-sf-field-name=\"_sft_portfolio_category\" data-sf-field-type=\"taxonomy\" data-sf-field-input-type=\"checkbox\"><h4>Type<\/h4>\t\t<ul data-operator=\"or\" class=\"\">\n\t\t\t\t\t  <li class=\"sf-level-0 sf-item-28\" data-sf-count=\"8\" data-sf-depth=\"0\"><input  class=\"sf-input-checkbox\" type=\"checkbox\" value=\"webinar\" name=\"_sft_portfolio_category[]\" id=\"sf-input-ceb3adc28ab2b89f31baba0d44e4941b\"><label class=\"sf-label-checkbox\" for=\"sf-input-ceb3adc28ab2b89f31baba0d44e4941b\">Webinar<\/label><\/li><li class=\"sf-level-0 sf-item-65\" data-sf-count=\"25\" data-sf-depth=\"0\"><input  class=\"sf-input-checkbox\" type=\"checkbox\" value=\"publication\" name=\"_sft_portfolio_category[]\" id=\"sf-input-dea541a10615afcea3391b6212bdaabd\"><label class=\"sf-label-checkbox\" for=\"sf-input-dea541a10615afcea3391b6212bdaabd\">Publication<\/label><\/li><li class=\"sf-level-0 sf-item-63\" data-sf-count=\"26\" data-sf-depth=\"0\"><input  class=\"sf-input-checkbox\" type=\"checkbox\" value=\"presentation\" name=\"_sft_portfolio_category[]\" id=\"sf-input-7f958897fe57acfbd95743dbaff06c88\"><label class=\"sf-label-checkbox\" for=\"sf-input-7f958897fe57acfbd95743dbaff06c88\">Presentation Slides<\/label><\/li><li class=\"sf-level-0 sf-item-98\" data-sf-count=\"2\" data-sf-depth=\"0\"><input  class=\"sf-input-checkbox\" type=\"checkbox\" value=\"poster\" name=\"_sft_portfolio_category[]\" id=\"sf-input-e33e974716d6b66f8bc91be3a4d9eaa6\"><label class=\"sf-label-checkbox\" for=\"sf-input-e33e974716d6b66f8bc91be3a4d9eaa6\">Poster<\/label><\/li><li class=\"sf-level-0 sf-item-73\" data-sf-count=\"3\" data-sf-depth=\"0\"><input  class=\"sf-input-checkbox\" type=\"checkbox\" value=\"dissertation\" name=\"_sft_portfolio_category[]\" id=\"sf-input-a97ac487df343b7af0328ec37d3c27d8\"><label class=\"sf-label-checkbox\" for=\"sf-input-a97ac487df343b7af0328ec37d3c27d8\">Dissertation<\/label><\/li><li class=\"sf-level-0 sf-item-102\" data-sf-count=\"3\" data-sf-depth=\"0\"><input  class=\"sf-input-checkbox\" type=\"checkbox\" value=\"conference-proceeding\" name=\"_sft_portfolio_category[]\" id=\"sf-input-2a056db37e9bcf7c262667427cd37af4\"><label class=\"sf-label-checkbox\" for=\"sf-input-2a056db37e9bcf7c262667427cd37af4\">Conference Proceeding<\/label><\/li>\t\t<\/ul>\n\t\t<\/li><\/ul><\/form><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-inner-column elementor-element elementor-element-b7eefa4\" data-id=\"b7eefa4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2339f22 elementor-widget elementor-widget-shortcode\" data-id=\"2339f22\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"search-filter-results\" id=\"search-filter-results-5295\">\t\n\tFound 60 Results<br \/>\n\tPage 1 of 3<br \/>\n\t\n\t<div class=\"pagination\">\n\t\t\n\t\t\t\t<\/div>\n\t\n\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/source-camera-identification-with-multi-camera-smartphones\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/source-camera-identification-with-multi-camera-smartphones\/\">Source Camera Identification with Multi-Camera Smartphones<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/presentation\/\" rel=\"tag\">Presentation Slides<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/general\/\" rel=\"tag\">Forensic Statistics<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2023 | By: Stephanie Reinders <\/p>\n\n\n<\/p>\n           <p>An overview of source camera identification on multi-camera smartphones, and introduction to the new CSAFE multi-camera smartphone image database, and a summary of recent results on the iPhone 14 Pro's.           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/qzoDKmRw\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/an-anti-fuzzing-approach-for-android-apps\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/an-anti-fuzzing-approach-for-android-apps\/\">An Anti-Fuzzing Approach for Android Apps<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/conference-proceeding\/\" rel=\"tag\">Conference Proceeding<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/publication\/\" rel=\"tag\">Publication<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2023 | By: Chris Chao-Chun Cheng <\/p>\n\n\n<\/p>\n           <p>One of significant mobile app forensic analysis problems is the app evidence extraction from the device. Given the fact that mobile apps could generate more than 19K files in a device [6], simply manually inspecting every file is time consuming&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/7vdXgRkv\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/forensic-analysis-of-android-cryptocurrency-wallet-applications\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/forensic-analysis-of-android-cryptocurrency-wallet-applications\/\">Forensic Analysis of Android Cryptocurrency Wallet Applications<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/conference-proceeding\/\" rel=\"tag\">Conference Proceeding<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/publication\/\" rel=\"tag\">Publication<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2023 | By: Chen Shi <\/p>\n\n\n<\/p>\n           <p>Crypto wallet apps that integrate with various block-chains allow the users to make digital currencies transaction with QR codes. According to reports from financesonline [3], there is over 68 million crypto wallet app users in 2021. As new crypto wallets&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/WwPg9aOz\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/variations-and-extensions-of-information-leakage-metrics-with-applications-to-privacy-problems-with-imperfect-statistical-information\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/variations-and-extensions-of-information-leakage-metrics-with-applications-to-privacy-problems-with-imperfect-statistical-information\/\">Variations and Extensions of Information Leakage Metrics with Applications to Privacy Problems with Imperfect Statistical Information<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/conference-proceeding\/\" rel=\"tag\">Conference Proceeding<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/publication\/\" rel=\"tag\">Publication<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/general\/\" rel=\"tag\">Forensic Statistics<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2023 | By: Shahnewaz Karim Sakib <\/p>\n\n\n<\/p>\n           <p>The conventional information leakage metrics assume that an adversary has complete knowledge of the distribution of the mechanism used to disclose information correlated with the sensitive attributes of a system. The only uncertainty arises from the specific realizations that are&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/VrO5xYow\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/camera-device-identification-and-the-effects-of-underexposure\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/camera-device-identification-and-the-effects-of-underexposure\/\">Camera Device Identification and the Effects of Underexposure<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/dissertation\/\" rel=\"tag\">Dissertation<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/publication\/\" rel=\"tag\">Publication<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/general\/\" rel=\"tag\">Forensic Statistics<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2023 | By: Seth Pierre <\/p>\n\n\n<\/p>\n           <p>Technology today allows a photograph from a digital camera to be matched with the camera that took it. However, the matching software was created over 10 years ago using data that is not necessarily representative of today\u2019s data. The objective&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/105645\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/likelihood-ratios-for-categorical-count-data-with-applications-in-digital-forensics\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/likelihood-ratios-for-categorical-count-data-with-applications-in-digital-forensics\/\">Likelihood ratios for categorical count data with applications in digital forensics<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/publication\/\" rel=\"tag\">Publication<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/general\/\" rel=\"tag\">Forensic Statistics<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2022 | By: Rachel Longjohn <\/p>\n\n\n<\/p>\n           <p>We consider the forensic context in which the goal is to assess whether two sets of observed data came from the same source or from different sources. In particular, we focus on the situation in which the evidence consists of&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/8zn7eKAw\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/csafe-project-update-ascld-frc-collaboration\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"210\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/implementation.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/csafe-project-update-ascld-frc-collaboration\/\">CSAFE Project Update &#038; ASCLD FRC Collaboration<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/presentation\/\" rel=\"tag\">Presentation Slides<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/firearmstoolmarks\/\" rel=\"tag\">Firearms and Toolmarks<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/footwear\/\" rel=\"tag\">Footwear<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/general\/\" rel=\"tag\">Forensic Statistics<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/handwriting\/\" rel=\"tag\">Handwriting<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/implementationpractice\/\" rel=\"tag\">Implementation and Practice<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2022 | By: Jeff Salyards <\/p>\n\n\n<\/p>\n           <p>This presentation highlighted CSAFE's collaboration with the ASCLD FRC Collaboration Hub.           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/avVO4Ner\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/forensic-analysis-on-android-social-networking-applications\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/forensic-analysis-on-android-social-networking-applications\/\">Forensic Analysis on Android Social Networking Applications<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/presentation\/\" rel=\"tag\">Presentation Slides<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2023 | By: Chen Shi <\/p>\n\n\n<\/p>\n           <p>This presentation is from the 75th Anniversary Conference of the American Academy of Forensic Sciences, Orlando, Florida, February 13-18, 2023. Posted with permission of CSAFE.           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/Nveo3LEz\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/source-camera-identification-on-multi-camera-phones\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/source-camera-identification-on-multi-camera-phones\/\">Source Camera Identification on Multi-Camera Phones<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/presentation\/\" rel=\"tag\">Presentation Slides<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/general\/\" rel=\"tag\">Forensic Statistics<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2023 | By: Stephanie Reinders <\/p>\n\n\n<\/p>\n           <p>Camera identification addresses the scenario where an investigator has a questioned digital image from an unknown camera. The investigator wants to know whether the questioned image was taken by a camera on a person of interest\u2019s phone. Researchers discovered that&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/azJ4xqKv\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/a-likelihood-ratio-approach-for-detecting-behavioral-changes-in-device-usage-over-time\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/a-likelihood-ratio-approach-for-detecting-behavioral-changes-in-device-usage-over-time\/\">A Likelihood Ratio Approach for Detecting Behavioral Changes in Device Usage Over Time<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/poster\/\" rel=\"tag\">Poster<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2023 | By: Rachel Longjohn <\/p>\n\n\n<\/p>\n           <p>This work focuses on the situation in which investigators have obtained as evidence logs of user-generated activities on a device, such as sending text messages or emails, opening or interacting with mobile apps, or making calls from particular locations. Quantitative&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/avVO4ber\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/libdroid-summarizing-information-flow-of-android-native-libraries-via-static-analysis\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/libdroid-summarizing-information-flow-of-android-native-libraries-via-static-analysis\/\">LibDroid: Summarizing information flow of Android Native Libraries via Static Analysis<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/publication\/\" rel=\"tag\">Publication<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2022 | By: Chen Shi <\/p>\n\n\n<\/p>\n           <p>With advancements in technology, people are taking advantage of mobile devices to access e-mails, search the web, and video chat. Therefore, extracting evidence from mobile phones is an important component of the investigation process. As Android app developers could leverage&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/gwW7DVNw\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/evaluating-reference-sets-for-score-based-likelihood-ratios-for-camera-device-identification\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/evaluating-reference-sets-for-score-based-likelihood-ratios-for-camera-device-identification\/\">Evaluating Reference Sets for Score-Based Likelihood Ratios for Camera Device Identification<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/presentation\/\" rel=\"tag\">Presentation Slides<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2022 | By: Stephanie Reinders <\/p>\n\n\n<\/p>\n           <p>An investigator wants to know if an illicit image captured by an unknown camera was taken by a person of interest\u2019s (POI\u2019s) phone. Score-based likelihood ratios (SLRs) have been used to answer this question in previous research. We explore whether&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/qzXB1nLv\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/likelihood-ratios-for-categorical-evidence-with-applications-to-digital-forensics\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/likelihood-ratios-for-categorical-evidence-with-applications-to-digital-forensics\/\">Likelihood Ratios for Categorical Evidence with Applications to Digital Forensics<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/poster\/\" rel=\"tag\">Poster<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/general\/\" rel=\"tag\">Forensic Statistics<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2022 | By: Rachel Longjohn <\/p>\n\n\n<\/p>\n           <p>In forensic investigations, the goal of evidence evaluation is often to address source-\/identity-based questions in which the evidence consists of two sets of observations: one from an unknown source tied to a crime and the other from a known source.&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/gwW7Kk9w\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/automatic-detection-of-android-steganography-apps-via-symbolic-execution-and-tree-matching\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/automatic-detection-of-android-steganography-apps-via-symbolic-execution-and-tree-matching\/\">Automatic Detection of Android Steganography Apps via Symbolic Execution and Tree Matching<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/publication\/\" rel=\"tag\">Publication<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2021 | By: Wenhao Chen <\/p>\n\n\n<\/p>\n           <p>The recent focus of cyber security on automated detection of malware for Android apps has omitted the study of some apps used for \u201clegitimate\u201d purposes, such as steganography apps. Mobile steganography apps can be used for delivering harmful messages, and&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/7wbO2MMv\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/tutorial-on-likelihood-ratios-with-applications-in-digital-forensics\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/tutorial-on-likelihood-ratios-with-applications-in-digital-forensics\/\">Tutorial on Likelihood Ratios with Applications in Digital Forensics<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/webinar\/\" rel=\"tag\">Webinar<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/general\/\" rel=\"tag\">Forensic Statistics<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/trainingeducation\/\" rel=\"tag\">Training and Education<\/a><\/strong><\/p>\n            <\/p>\n           <p>This CSAFE webinar was held on September 15, 2022. Presenters: Rachel Longjohn PhD Student - Department of Statistics, University of California, Irvine Dr. Padhraic Smyth Chancellor's Professor - Departments of Statistics and Computer Sciences, University of California, Irvine Presentation Description:&hellip;           \n            \n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/likelihood-ratios-for-categorical-evidence-with-applications-in-digital-evidence\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/likelihood-ratios-for-categorical-evidence-with-applications-in-digital-evidence\/\">Likelihood Ratios for Categorical Evidence With Applications in Digital Evidence<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/presentation\/\" rel=\"tag\">Presentation Slides<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a>,<a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/general\/\" rel=\"tag\">Forensic Statistics<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2022 | By: Rachel Longjohn <\/p>\n\n\n<\/p>\n           <p>The following poster was presented at the 74th Annual Scientific Conference of the American Academy of Forensic Sciences (AAFS), Seattle, Washington, February 21-25, 2022.           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/gwW7Ap9w\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/score-based-likelihood-ratios-for-camera-device-identification-using-cameras-of-the-same-brand-for-the-alternative-device-population\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/score-based-likelihood-ratios-for-camera-device-identification-using-cameras-of-the-same-brand-for-the-alternative-device-population\/\">Score-Based Likelihood Ratios for Camera Device Identification Using Cameras of the Same Brand for the Alternative Device Population<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/presentation\/\" rel=\"tag\">Presentation Slides<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2022 | By: Stephanie Reinders <\/p>\n\n\n<\/p>\n           <p>Score-based likelihood ratios are a statistical method for quantifying the weight of evidence and have been used in many areas of forensics, including camera device identification1,2,3. Small sensor imperfections caused during manufacturing, called photo response non-uniformity4, leave identifying features, called&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/Yr3Kg7yr\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/forensic-analysis-on-cryptocurrency-wallet-apps\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/forensic-analysis-on-cryptocurrency-wallet-apps\/\">Forensic Analysis on Cryptocurrency Wallet Apps<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/presentation\/\" rel=\"tag\">Presentation Slides<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2022 | By: Chen Shi <\/p>\n\n\n<\/p>\n           <p>The following was presented at the 74th Annual Scientific Conference of the American Academy of Forensic Sciences (AAFS), Seattle, Washington, February 21-25, 2022.           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/0zEyBq4z\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/mobile-steganography-looking-to-the-future\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/mobile-steganography-looking-to-the-future\/\">Mobile steganography: Looking to the future<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/presentation\/\" rel=\"tag\">Presentation Slides<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2021 | By: Jennifer Newman <\/p>\n\n\n<\/p>\n           <p>Humans have sent secret messages for millennia. A cousin to cryptography, steganography is the art and science of sending a secret message in the open by camouflaging the message carefully. Steganography can take many shapes, and its digital form often&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/PrMBPp0z\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\t\t<div class=\"resultthumbnail\">\n\t\t\t<a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/a-response-to-the-threat-of-stegware\/\"><p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"209\" src=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" srcset=\"https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/digital.png 200w, https:\/\/forensicstats.org\/wp-content\/uploads\/2020\/07\/elementor\/thumbs\/digital-ouxp82hxtso7oeg82pf96wsmundj2qzfkt89vn0u88.png 110w\" sizes=\"(max-width: 200px) 100vw, 200px\" itemprop=\"image\" \/><\/p><\/a>\n            <\/div>\n            <div class=\"resultinfo\">\n\t\t\t<h4><a href=\"https:\/\/forensicstats.org\/blog\/portfolio\/a-response-to-the-threat-of-stegware\/\">A Response to the Threat of Stegware<\/a><\/h4>\n\n            <p class=\"topicarea published\">Type: <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-category\/presentation\/\" rel=\"tag\">Presentation Slides<\/a><\/strong> Research Area(s): <strong><a href=\"https:\/\/forensicstats.org\/blog\/portfolio-tag\/digital\/\" rel=\"tag\">Digital<\/a><\/strong><\/p>\n            \n    <p class=\"published\"> Published: 2021 | By: Abby Martin <\/p>\n\n\n<\/p>\n           <p>Stegware refers to software, programs or apps that allow insertion of malware into a digital file, such as an image or video, using steganography techniques. Although it has been in action for around 15 years, \u201csteganography\u201d and \u201cstegware\u201d have recently&hellip;           \n            \n               <p class=\"published\"><a href=\"https:\/\/dr.lib.iastate.edu\/handle\/20.500.12876\/gwW7Q17w\" target=\"_blank\">View on Digital Repository<\/a><\/p>\n\n\n\n\n\n            \n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\n\t\t<hr \/>\n\t\t\tPage 1 of 3<br \/>\n\t\n\t<div class=\"pagination\">\n\t\t\n\t\t\t\t<div class=\"nav-previous\"><\/div>\n<div class=\"nav-next\"><a href=\"https:\/\/forensicstats.org\/digital-evidence\/?sf_paged=2\" >Next Page > <\/a><\/div>\n\t\t\t<\/div>\n\t<\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-43261ea6 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"43261ea6\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;_id&quot;:&quot;be41d5a&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;50&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_bg_x&quot;:&quot;50&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;50&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}],&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5990c99c\" data-id=\"5990c99c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3f0ebee2 elementor-widget elementor-widget-text-editor\" data-id=\"3f0ebee2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h2>COMMUNITY CALL-TO-ACTION<\/h2><p>Want to collaborate with CSAFE on a project. Contact us to share your idea.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-360fc044 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"360fc044\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[{&quot;jet_parallax_layout_image&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;_id&quot;:&quot;5140a10&quot;,&quot;jet_parallax_layout_speed&quot;:{&quot;unit&quot;:&quot;%&quot;,&quot;size&quot;:&quot;50&quot;,&quot;sizes&quot;:[]},&quot;jet_parallax_layout_bg_x&quot;:&quot;50&quot;,&quot;jet_parallax_layout_bg_y&quot;:&quot;50&quot;,&quot;jet_parallax_layout_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;jet_parallax_layout_type&quot;:&quot;scroll&quot;,&quot;jet_parallax_layout_direction&quot;:null,&quot;jet_parallax_layout_fx_direction&quot;:null,&quot;jet_parallax_layout_z_index&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_x_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_y_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size&quot;:&quot;auto&quot;,&quot;jet_parallax_layout_bg_size_tablet&quot;:&quot;&quot;,&quot;jet_parallax_layout_bg_size_mobile&quot;:&quot;&quot;,&quot;jet_parallax_layout_animation_prop&quot;:&quot;transform&quot;,&quot;jet_parallax_layout_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;]}]}\">\n\t\t\t\t\t\t<div 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