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Digital

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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A Forensic Analysis of Joker-Enabled Android Malware Apps

This project aims at developing a set of automated Android Malware vetting tools to discover all the malicious behaviors of Android Malwares in the forms of files in the local
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LogExtractor: Extracting Digital Evidence from Android Log Messages via String and Taint Analysis

Mobile devices are increasingly involved in crimes. Therefore, digital evidence on mobile devices plays a more and more important role in crime investigations. Existing studies have designed tools to identify and/or
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Forensic Analysis on Joker Family Android Malware

Android is the most popular operating system among mobile devices and the malware targeted explicitly for Android is rapidly growing and spreading across the mobile ecosystem. In this paper, we
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Source-Anchored, Trace-Anchored, and General Match Score-Based Likelihood Ratios for Camera Device Identification

Forensic camera device identification addresses the scenario, where an investigator has two pieces of evidence: a digital image from an unknown camera involved in a crime, such as child pornography,
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CSAFE 2021 Field Update

CSAFE 2021 Field Update

The 2021 Field Update was held June 14, 2021, and served as the closing to the first year of CSAFE 2.0. CSAFE brought together researchers, forensic science partners and interested
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Computer program source code on computer screen

Algorithms in Forensic Science: Challenges, Considerations, and a Path Forward

This CSAFE webinar was held on May 25, 2021. Presenter: Henry Swofford Ph.D. Candidate – University of Lausanne Presentation Description: Over the years, scientific and legal scholars have called for
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Computer software source code on a screen.

Source Code on Trial

This CSAFE symposium was held on March 12, 2021. Presenter: Professor Edward Imwinkelried Edward L. Barrett, Jr. Professor of Law Emeritus, University of California – Davis School of Law Panelists:
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Statistical Methods for the Forensic Analysis of User-Event Data

A common question in forensic analysis is whether two observed data sets originate from the same source or from different sources. Statistical approaches to addressing this question have been widely
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Statistical Methods for the Forensic Analysis of Geolocated Event Data

A common question in forensic analysis is whether two observed data sets originated from the same source or from different sources. Statistical approaches to addressing this question have been widely
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