Avoiding The Man on the Wire: Improving Tor's Security with Trust-Aware Path Selection
Aaron Johnson, Rob Jansen, Aaron D. Jaggard, Joan Feigenbaum, Paul Syverson
摘要
Tor users are vulnerable to deanonymization by an adversary that can observe some Tor relays or some parts of the network. We demonstrate that previous network-aware path-selection algorithms that propose to solve this problem are vulnerable to attacks across multiple Tor connections. We suggest that users use trust to choose the paths through Tor that are less likely to be observed, where trust is flexibly modeled as a probability distribution on the location of the user's adversaries, and we present the Trust-Aware Path Selection algorithm for Tor that helps users avoid traffic-analysis attacks while still choosing paths that could have been selected by many other users. We evaluate this algorithm in two settings using a high-level map of Internet routing: (i) users try to avoid a single global adversary that has an independent chance to control each Autonomous System organization, Internet Exchange Point organization, and Tor relay family, and (ii) users try to avoid deanonymization by any single country. We also examine the performance of Trust-Aware Path selection using the Shadow network simulator.
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引用它的顶会 Paper7
- Co-opting Linux Processes for High-Performance Network SimulationRob Jansen, James Newsome, Ryan WailsUSENIX ATC 2022 · 被引用 34 次
- Privacy-Preserving Dynamic Learning of Tor Network TrafficRob Jansen, Matthew Traudt, Nicholas HopperCCS 2018 · 被引用 26 次
- CLAPS: Client-Location-Aware Path Selection in TorFlorentin Rochet, Ryan Wails, Aaron Johnson, Prateek Mittal 等CCS 2020 · 被引用 23 次
- Towards Predicting Efficient and Anonymous Tor CircuitsArmon Barton, Matthew Wright, Jiang Ming, Mohsen ImaniUSENIX Security 2018 · 被引用 22 次
- Once is Never Enough: Foundations for Sound Statistical Inference in Tor Network ExperimentationRob Jansen, Justin Tracey, Ian GoldbergUSENIX Security 2021 · 被引用 21 次
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