Users get routed: traffic correlation on tor by realistic adversaries
By Aaron Johnson, Chris Wacek, Rob Jansen, Michael E. Sherr, Paul F. Syverson. Conference on Computer and Communications Security, 2013
327 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/f08d37e26906abeee75ca03dc30fd86f53889320
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Nikita Borisov
- Yossi Gilad
- Arash Habibi Lashkari
- Nickolai Zeldovich
- Ian Goldberg
- George Danezis
- Ali Akbar Ghorbani
- Björn Scheuermann
In Computer Networks and Communications
- Arash Habibi Lashkari
- Ali Akbar Ghorbani
- Nikita Borisov
- George Danezis
- Ian Goldberg
- Nickolai Zeldovich
- Yossi Gilad
- Lei Yang
Citations in the corpus
- DP5: A Private Presence Service (2015, background): “Besides the performance problems, anonymous communication channels, be it mixes or onion routers, are susceptible to long-term intersection attacks; in Tor, realistic adversaries are likely to learn a relationship after a few months of repeated connection patterns [32].”
- Bitcoin and Beyond: A Technical Survey on Decentralized Digital Currencies (2016, background): “Even though it is now no longer considered that unlikely by all [Johnson et al. 2013], such an adversary remains a very strong assumption.”
- Characterization of Tor Traffic using Time based Features (2017, background): “However, unlike (Johnson et al., 2013; Shmatikov and Wang, 2006), we do not consider any attack models, circuit clogging, or network adversaries, that is beyond the goal of this paper.”
- Security and Privacy in the Internet of Things (2017, background): “showed that for an adversary with moderate bandwidth capacity, it only takes 50 to 60 days to include a malicious router to a user’s guard set [92].”
- Technical Privacy Metrics (2015, background): “ a communication system can be if the adversary identifiesn out of N of the target’s possible communication partners [6]. Success can also be when the adversary first compromises a communication path [73, 140]. In an onion routing system such as Tor [41], path compromise happens when the adversary c”
- Stadium: A Distributed Metadata-Private Messaging System (2017, background): “However, Tor is vulnerable to traffic analysis and injection attacks that can deanonymize users and leak metadata [2, 7, 21, 30, 46].”