Detection and Tracking of Forged Digital Images on Social Media using Forensically

Explore techniques for detecting and tracking forged digital images on social media using open-source tools in this conference talk from OSDFCon 2020. Learn about Forensically and JPEGMARK, powerful image analysis tools used to identify cloned regions in forged images and extract hidden data. Discover how these tools can perform multiple tasks simultaneously, including magnification, clone detection, error level analysis, noise analysis, JPEG analysis, and structural analysis. Gain insights into application segment markers, string analysis, JPEG snoop, and compression signatures. Understand the challenges and limitations of digital image forensics. Presented by Kumarshankar Raychaudhuri, an experienced digital forensics expert from the Cyber Forensics Division at LNJN National Institute of Criminology and Forensics Science, this talk provides valuable knowledge for professionals in cybercrime investigation and information security.

Intro
Roadmap
Digital Image Overview
Fake Images on Social Media
Fake and Real Image
Open Source Tools
Forensically
Magnification
Clone Detection
Error Level Analysis
Noise Analysis
JPEG Analysis
Structural Analysis
Application Segment Markers
String Analysis
jpeg snoop
compression signature
challenges limitations
Questions