PIR-Tor: Scalable Anonymous Communication Using Private Information Retrieval

By Prateek Mittal, Femi G. Olumofin, Carmela Troncoso, Nikita Borisov, Ian Goldberg. 2011

139 citations recorded by the source corpus.

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Citations in the corpus

PIR with Compressed Queries and Amortized Query Processing (2018, background): “Examples include: anonymous and unobservable communication [7, 54, 60], privacy-preserving media streaming [4, 44], ad delivery [42], friend discovery [14], and notifications [26].”
XPIR : Private Information Retrieval for Everyone (2016, background): “Together, these works total about eighty citations, and have been used as a fundamental building block (or as a benchmark) in major and recent venues such as Usenix Security [15] (2011), NDSS [16, 17] (2013, 2014), and PETs [18, 19, 20, 21] (2010, 2012, 2014).”
The Best of Both Worlds: Combining Information-Theoretic and Computational PIR for Communication Efficiency (2014, methodology): “Other applications of PIR over databases of this shape could include sensor network data retrieval [31], private LDAP lookups [28], and efficient retrieval of network information in anonymous communications systems [21].”
This Paper Is Included in the Proceedings of the 12th Usenix Symposium on Operating Systems Design and Implementation (osdi '16). Unobservable Communication over Fully Untrusted Infrastructure Unobservable Communication over Fully Untrusted Infrastructure (unknown): “While PIR has been used in other private communication systems [79] [92] [119], its interface is not a good fit for Pung: PIR requires clients to know the exact index of the items they wish to retrieve in a data structure stored at the server.”
A Protocol for Privately Reporting Ad Impressions at Scale (2016, background): “These run the range from improvements to Tor [41], to alternatives [31, 33, 35], to a line of works on scalable mixnets [20, 21], and dining cryptographer networks [17, 43, 18].”
Optimally Robust Private Information Retrieval (2012, background): “PIR is a fundamental building block for many proposed privacy-sensitive applications in the literature , including patent databases [2], domain name registration [28], anonymous email [33], and improving the scalability of anonymous communication networks [26].”