DeepCoFFEA - Improved Flow Correlation Attacks on Tor via Metric Learning and Amplification

Explore an innovative approach to flow correlation attacks on the Tor network in this 15-minute IEEE conference talk. Delve into the DeepCoFFEA technique, which combines metric learning and amplification to enhance the effectiveness of such attacks. Learn how researchers from Ewha Womans University, University of Minnesota, and Rochester Institute of Technology have developed this method to potentially compromise Tor's anonymity protections. Gain insights into the technical aspects of the attack, its implications for network security, and the ongoing challenges in maintaining privacy in anonymous communication systems.

DeepCoFFEA: Improved Flow Correlation Attacks on Tor via Metric Learning and Amplification