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After carefully considering the scalability problem in Tor and exhaustivelyevaluating related works on AS-level adversaries, the author proposesASmoniTor, which is an autonomous system monitor for mitigating correlationattacks in the Tor network. In contrast to prior works, which often releasedoffline packets, including the source code of a modified Tor client and asnapshot of the Internet topology, ASmoniTor is an online system that assistsend users with mitigating the threat of AS-level adversaries in a nearreal-time fashion. For Tor clients proposed in previous works, users need tocompile the source code on their machine and continually update the snapshot ofthe Internet topology in order to obtain accurate AS-path inferences. On thecontrary, ASmoniTor is an online platform that can be utilized easily by notonly technical users, but also by users without a technical background, becausethey only need to access it via Tor and input two parameters to execute anAS-aware path selection algorithm. With ASmoniTor, the author makes three keytechnical contributions to the research against AS-level adversaries in the Tornetwork. First, ASmoniTor does not require the users to initiate complicatedsource code compilations. Second, it helps to reduce errors in AS-pathinferences by letting users input a set of suspected ASes obtained directlyfrom their own traceroute measurements. Third, the Internet topology databaseat the back-end of ASmoniTor is periodically updated to assure near real-timeAS-path inferences between Tor exit nodes and the most likely visited websites.Finally, in addition to its convenience, ASmoniTor gives users full controlover the information they want to input, thus preserving their privacy.

Towards an Autonomous System Monitor for Mitigating Correlation Attacks in the Tor Network