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George Danezis
Researcher at University College London
Publications - 213
Citations - 12903
George Danezis is an academic researcher from University College London. The author has contributed to research in topics: Anonymity & Traffic analysis. The author has an hindex of 59, co-authored 209 publications receiving 11516 citations. Previous affiliations of George Danezis include University of Cambridge & Microsoft.
Papers
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Journal Article
Towards an information theoretic metric for anonymity
Andrei Serjantov,George Danezis +1 more
TL;DR: An alternative information theoretic measure of anonymity is proposed which takes into account the probabilities of users sending and receiving the messages and is shown how to calculate it for a message in a standard mix-based anonymity system.
Proceedings ArticleDOI
Mixminion: design of a type III anonymous remailer protocol
TL;DR: Mixminion works in a real-world Internet environment, requires little synchronization or coordination between nodes, and protects against known anonymity-breaking attacks as well as or better than other systems with similar design parameters.
Proceedings ArticleDOI
Low-cost traffic analysis of Tor
Steven J. Murdoch,George Danezis +1 more
TL;DR: New traffic-analysis techniques are presented that allow adversaries with only a partial view of the network to infer which nodes are being used to relay the anonymous streams and therefore greatly reduce the anonymity provided by Tor, and it is shown that otherwise unrelated streams can be linked back to the same initiator.
Proceedings Article
SybilInfer: Detecting Sybil Nodes using Social Networks.
George Danezis,Prateek Mittal +1 more
TL;DR: This work proves that, given standard constraints on the adversary, SybilInfer is secure, in that it successfully distinguishes between honest and dishonest nodes and is not susceptible to manipulation by the adversary.
Book ChapterDOI
Privacy-friendly aggregation for the smart-grid
TL;DR: Protocols that can be used to privately compute aggregate meter measurements over defined sets of meters, allowing for fraud and leakage detection as well as network management and further statistical processing of meter measurements, without revealing any additional information about the individual meter readings are presented.