Being a volunteer-run, distributed anonymity network, Tor is vulnerable to Sybil attacks. Little is known about real-world Sybils in the Tor network, and we lack practical tools and methods to expose Sybil attacks. In this work, we develop sybilhunter, the first system for detecting Sybil relays based on their appearance, such as configuration; and behavior, such as uptime sequences. We used sybilhunter's diverse analysis techniques to analyze nine years of archived Tor network data, providing us with new insights into the operation of real-world attackers. Our findings include diverse Sybils, ranging from botnets, to academic research, and relays that hijack Bitcoin transactions. Our work shows that existing Sybil defenses do not apply to Tor, it delivers insights into realworld attacks, and provides practical tools to uncover and characterize Sybils, making the network safer for its users.
Furthermore, Sybilhunter REF has developed to detect Sybil relays in Tor based on their appearance and behavior.
Identifying and characterizing Sybils in the Tor network
ArXiv
ArXiv
Computer Science