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Overview
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This course focuses on teaching participants how to conduct improved flow correlation attacks on Tor using metric learning and amplification techniques. The learning outcomes include understanding the concept of flow correlation attacks, applying metric learning to enhance attack effectiveness, and utilizing amplification methods for better results. The course teaches skills such as conducting flow correlation attacks, implementing metric learning algorithms, and applying amplification techniques. The teaching method involves theoretical explanations, practical demonstrations, and case studies. This course is intended for cybersecurity professionals, researchers, and individuals interested in network security and privacy.
Syllabus
DeepCoFFEA: Improved Flow Correlation Attacks on Tor via Metric Learning and Amplification
Taught by
IEEE Symposium on Security and Privacy