Nick Hopper

CSENG Computer Science & Eng
College of Science & Engineering
Twin Cities
Project Title: 
Machine Learning for Traffic Analysis

This research uses machine learning techniques for network traffic analysis, such as website fingerprinting, end-to-end correlation, and stastistical disclosure attacks and defenses on anonymous or end-to-end encrypted communication systems.

Project Investigators

James Holland Jr
Nick Hopper
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