Overcoming Tor: An Analysis of Video Fingerprinting Attacks with Machine Learning
Abstract
Terrorist groups and violent extremist organizations have taken advantage of the anonymity provided by The Onion Router (Tor). They use it to clandestinely distribute video media to recruit and spread propaganda as well as incite others to commit acts of terrorism. This thesis seeks to continue a line of work in developing machine learning algorithms to conduct video fingerprinting attacks on network traffic transmitted over Tor in a closed world environment. It will expand upon previous research by using multiple media platforms for videos being streamed. The end goal from this line of research is a future product that the Department of Defense can apply against real world network traffic to identify individuals using Tor and the dark web for recruiting, training, and incitement of terror as well as identify individuals that are actively being recruited.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2023
- Accession Number
- AD1224360
Entities
People
- Trevor J. Thomas
Organizations
- Naval Postgraduate School