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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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Book ChapterDOI
Statistical disclosure or intersection attacks on anonymity systems
George Danezis,Andrei Serjantov +1 more
TL;DR: This paper provides analytical results about the anonymity of users when they repeatedly send messages through a threshold mix following the model of Kesdogan, Agrawal and Penz and through a pool mix and presents a statistical disclosure attack that can be used to attack models of anonymous communication networks based on pool mixes.
Proceedings ArticleDOI
Smart meter aggregation via secret-sharing
TL;DR: In this paper, the authors propose a protocol for processing smart meter readings while preserving user privacy, implemented by adapting to the setting of efficient secret-sharing-based secure multi-party computation techniques.
Journal Article
Statistical disclosure or intersection attacks on anonymity systems
George Danezis,Andrei Serjantov +1 more
TL;DR: In this paper, the anonymity of users in anonymous communication networks is analyzed using a statistical disclosure attack based on pool mix models, which can be used to attack models of anonymous communication network.
Pri-PAYD: Privacy Friendly Payas- you-drive Insurance
TL;DR: This work presents PriPAYD, a system where the premium calculations are performed locally in the vehicle, and only aggregated data are sent to the insurance company, without leaking location information.
Denial of Service or Denial of Security? How Attacks on Reliability can Compromise Anonymity
TL;DR: It is shown that denial of service (DoS) lowers anonymity as messages need to get retransmitted to be delivered, presenting more opportunities for attack.