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Digital

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
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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
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Likelihood Ratios for Categorical Evidence with Applications to Digital Forensics

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

The recent focus of cyber security on automated detection of malware for Android apps has omitted the study of some apps used for “legitimate” purposes, such as steganography apps. Mobile
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Tutorial on Likelihood Ratios with Applications in Digital Forensics

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
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Likelihood Ratios for Categorical Evidence With Applications in Digital Evidence

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.
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Score-Based Likelihood Ratios for Camera Device Identification Using Cameras of the Same Brand for the Alternative Device Population

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
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Forensic Analysis on Cryptocurrency Wallet Apps

The following was presented at the 74th Annual Scientific Conference of the American Academy of Forensic Sciences (AAFS), Seattle, Washington, February 21-25, 2022.
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Mobile steganography: Looking to the future

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.
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A Response to the Threat of Stegware

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
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