Likelihood ratios for categorical count data with applications in digital forensics

Type: Publication Research Area(s): Digital, Forensic Statistics

Published: 2022 | By: Rachel Longjohn

We consider the forensic context in which the goal is to assess whether two sets of observed data came from …

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A Likelihood Ratio Approach for Detecting Behavioral Changes in Device Usage Over Time

Type: Poster Research Area(s): Digital

Published: 2023 | By: Rachel Longjohn

This work focuses on the situation in which investigators have obtained as evidence logs of user-generated activities on a device, …

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LibDroid: Summarizing information flow of Android Native Libraries via Static Analysis

Type: Publication Research Area(s): Digital

Published: 2022 | By: Chen Shi

With advancements in technology, people are taking advantage of mobile devices to access e-mails, search the web, and video chat. …

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Likelihood Ratios for Categorical Evidence with Applications to Digital Forensics

Type: Poster Research Area(s): Digital, Forensic Statistics

Published: 2022 | By: Rachel Longjohn

In forensic investigations, the goal of evidence evaluation is often to address source-/identity-based questions in which the evidence consists of …

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Automatic Detection of Android Steganography Apps via Symbolic Execution and Tree Matching

Type: Publication Research Area(s): Digital

Published: 2021 | By: Wenhao Chen

The recent focus of cyber security on automated detection of malware for Android apps has omitted the study of some …

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Tutorial on Likelihood Ratios with Applications in Digital Forensics

Type: Webinar Research Area(s): Digital, Forensic Statistics, Training and Education

Published: | By: Rachel Longjohn

This CSAFE webinar was held on September 15, 2022.Presenters: Rachel Longjohn PhD Student – Department of Statistics, University of California, …

LogExtractor: Extracting Digital Evidence from Android Log Messages via String and Taint Analysis

Type: Publication Research Area(s): Digital

Published: 2021 | By: Chris Chao-Chun

Mobile devices are increasingly involved in crimes. Therefore, digital evidence on mobile devices plays a more and more important role in …

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Forensic Analysis on Joker Family Android Malware

Type: Publication Research Area(s): Digital

Published: 2021 | By: Chen Shi

Android is the most popular operating system among mobile devices and the malware targeted explicitly for Android is rapidly growing …

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