Mitigating Censorship with Multi-Circuit Tor and Linear Network Coding
This work addresses censorship for Tor users, but it is incremental as it builds on existing multi-circuit techniques.
The paper tackled censorship attacks on Tor by enhancing multi-circuit Tor with linear network coding, showing that this approach improves Tor's robustness against censorship.
Anonymity networks are providing practical mechanisms to protect its users against censorship by hiding their identity and information content. The best-known anonymity network, The Onion Routing (Tor) network, is however subject to censorship attacks by blocking the public Tor entry routers and a few secret Tor entry points (bridges), thus preventing users to access the Tor. To further advance the evolution of anonymity networks, while addressing censorship attacks, we propose to enhance the well-known multi-circuit Tor technique with linear network coding (LNC) and analyze the resulting censorship success. The results show that LNC can improve the robustness of Tor against censorship.