The primary goal of this project is to create novel forensic processes and methods for analyzing real-time data related to live-stream abuse chats. To accomplish this goal, Purdue University will integrate and enhance capabilities from two previously funded digital forensic tools developed by this research team: Chat Analysis Triage Tool (CATT) and Toolkit for Selective Analysis and Reconstruction of Files (FileTSAR). By applying machine learning, artificial intelligence, natural language processing, and network forensics, we will develop novel forensic processes for real-time digital evidence related to live-stream abuse chats to create LION-CATT (LIve Offender Network-based Chat Analysis Triage Tool).
LION-CATT will be able to identify high-priority offenders and suggest demographic and stylistic characteristics of the offenders chatting based on real-time information from chats with multiple actors and in multiple languages. LION-CATT will operationally impact law enforcement and digital forensic examiners investigating live-streaming abuse cases. We will create meaningful deliverables, including online training modules, to help disseminate LION-CATT for free to any law enforcement agency worldwide.
- Law Enforcement
LION-CATT toolkit, LION-CATT online training videos
- Internet Crimes Against Children