Privacy-Preserving Dynamic Learning of Tor Network Traffic
Author:
Affiliation:
1. U.S. Naval Research Laboratory, Washington, DC, USA
2. University of Minnesota, Minneapolis, MN, USA
Funder
Department of Homeland Security
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3243734.3243815
Reference54 articles.
1. The Path Less Travelled: Overcoming Tor’s Bottlenecks with Traffic Splitting
2. PCTCP
3. Performance and Security Improvements for Tor
4. DeNASA: Destination-Naive AS-Awareness in Anonymous Communications
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