USENIX Association

By Stephen C. Johnson, Michael D. O'Dell, L. Grob, Eric P. Allman. 1992

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Advances and Open Problems in Federated Learning (2019, background): “[95, 251], often under the heading of mix networks. They have also been studied in the context of trusted computing [67]. Mix networks have found large scale deployment in the form of the Tor network [138]. Private information retrieval Private information retrieval (PIR) is a functionality for one ”
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics (2017, methodology): “(b) ANONIZE [76] and PrivStats [100] rely on an anonymizing proxy, such as Tor [51], to protect privacy against network eavesdroppers.”
Polynomial Batch Codes for Efficient IT-PIR (2016, methodology): “The setup algorithm provides each of the ℓ servers with a matrix obtained by evaluating the above ramp-share matrix component-wise at one of the xi .”
An Identity-Based Security System for User Privacy in Vehicular Ad Hoc Networks (2010, unknown): “network layer [33] which ensures location privacy.”
Tesseract: Real-Time Cryptocurrency Exchange using Trusted Hardware (2017, background): “, Tor [30]) is inapplicable as a mitigation technique against such adversaries, since users wish to perform real-time trades.”
FPDetective: dusting the web for fingerprinters (2013, methodology): “The Tor Browser is part of the software bundle that is used to access the Tor anonymity network [5], a popular service that is currently used daily by more than 800,000 people to anonymously browse the web.”
Karaoke: Distributed Private Messaging Immune to Passive Traffic Analysis (2018, methodology): “This attacker model rules out systems based on Tor [7] such as Ricochet [3], due to traffic analysis attacks [5, 11, 18].”
Eclipse Attacks on Bitcoin's Peer-to-Peer Network (2015, background): “Randomly sampling from the list of hosts in the Carna botnet [26] 5000 times, we ﬁnd that bots gives on average 402 distinct groups, enough to attack our live bitcoin nodes (Section 6).”
Scalable Bias-Resistant Distributed Randomness (2017, background): “More concretely, Tor hidden services [25] depend on the generation of a fresh random value each day for protection”
Traffic Morphing: An Efficient Defense Against Statistical Traffic Analysis (2009, background): “Practically speaking, our morphing technique offers an exciting alternative to deterministic padding for protecting privacy that can be used by a variety of services, including ToR [9] and Bit- Torrent [5].”
Civitas: Toward a Secure Voting System (2008, background): “It seems likely that existing anonymizing networks, such as Tor [33], would suffice if made sufficiently reliable.”
A Usability Evaluation of Tor Launcher (2017, background): “Tor [13] is an anonymity network that routes Internet traffic through a series of relays to make it difficult to observe sources and destinations.”
DP5: A Private Presence Service (2015, methodology): “One obvious design choice to achieve private presence consists of simply running a conventional presence system, or even a full chat server, behind a mechanism providing client and server anonymity, such as a Tor hidden service [16].”
The Economics of Personal Data and the Economics of Privacy (2010, background): “…or privacy enhanced “transactions” in areas as diverse as electronic payments (Chaum, 1983), online communications (Chaum, 1985), Internet browsing (Dingledine et al., 2004), or electronic voting (Benaloh, 1987); but it is also possible to have credential systems that provide authentication…”