Skip to content

Score-based Likelihood Ratios for Camera Device Identification

Conference/Workshop:
IS&T International Symposium on Electronic Imaging, Media Watermarking, Security, and Forensics
Published: 2020
Primary Author: Stephanie Reinders
Secondary Authors: Li Lin, Wenhao Chen, Yong Guan, Jennifer Newman
Research Area: Digital

Many areas of forensics are moving away from the notion of classifying evidence simply as a match or non-match. Instead, some use score-based likelihood ratios (SLR) to quantify the similarity between two pieces of evidence, such as a fingerprint obtained from a crime scene and a fingerprint obtained from a suspect. We apply trace-anchored score-based likelihood ratios to the camera device identification problem. We use photo-response non-uniformity (PRNU) as a camera fingerprint and one minus the normalized correlation as a similarity score. We calculate trace-anchored SLRs for 10,000 images from seven camera devices from the BOSSbase image dataset. We include a comparison between our results the universal detector method.

Related Resources

A Response to the Threat of Stegware

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…
A Forensic Analysis of Joker-Enabled Android Malware Apps

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

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…
Forensic Analysis on Joker Family Android Malware

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…