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Digital

Source Camera Identification with Multi-Camera Smartphones

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.
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An Anti-Fuzzing Approach for Android Apps

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
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Forensic Analysis of Android Cryptocurrency Wallet Applications

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
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Variations and Extensions of Information Leakage Metrics with Applications to Privacy Problems with Imperfect Statistical Information

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.
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Camera Device Identification and the Effects of Underexposure

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
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Likelihood ratios for categorical count data with applications in digital forensics

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
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CSAFE Project Update & ASCLD FRC Collaboration

This presentation highlighted CSAFE’s collaboration with the ASCLD FRC Collaboration Hub.
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Forensic Analysis on Android Social Networking Applications

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.
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Source Camera Identification on Multi-Camera Phones

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

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
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