Skip to content

Likelihood Ratios for Categorical Evidence With Applications in Digital Evidence

Conference/Workshop:
American Academy of Forensic Sciences (AAFS)
Published: 2022
Primary Author: Rachel Longjohn
Secondary Authors: Padhraic Smyth, Hal Stern

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.

Related Resources

Towards a likelihood ratio approach for bloodstain pattern analysis

Towards a likelihood ratio approach for bloodstain pattern analysis

In this work, we explore the application of likelihood ratio as a forensic evidence assessment tool to evaluate the causal mechanism of a bloodstain pattern. It is assumed that there…
An Open-Source Implementation of the CMPS Algorithm for Assessing Similarity of Bullets

An Open-Source Implementation of the CMPS Algorithm for Assessing Similarity of Bullets

In this paper, we introduce the R package cmpsR, an open-source implementation of the Congruent Matching Profile Segments (CMPS) method developed at the National Institute of Standards and Technology (NIST)…
LibDroid: Summarizing information flow of Android Native Libraries via Static Analysis

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

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…
Evaluating Reference Sets for Score-Based Likelihood Ratios for Camera Device Identification

Evaluating Reference Sets for Score-Based Likelihood Ratios for Camera Device Identification

An investigator wants to know if an illicit image captured by an unknown camera was taken by a person of interest’s (POI’s) phone. Score-based likelihood ratios (SLRs) have been used…