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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

Real World Patterns of Failure in Anonymity Systems

TL;DR: In this paper, the authors present attacks on anonymity and pseudonymity provided by a "lonely hearts" dating service and by the HushMail encrypted email system based on the engineering reality of these systems rather than the theoretical foundations on which they are based.
Journal Article

The wisdom of Crowds: attacks and optimal constructions

TL;DR: A traffic analysis of the ADU anonymity scheme presented at ESORICS 2008, and the related RADU scheme is presented, and it is shown that optimal attacks are able to de-anonymize messages more effectively than believed before.
Patent

Privacy-preserving metering

TL;DR: In this article, the authors describe a zero-knowledge proof that a utility bill is correct and send that proof to a utility provider together with the utility bill, where the utility provider is able to check that the proof is correct using the zero knowledge proof without finding out the user's private consumption data.
Journal Article

Breaking Four Mix-related Schemes Based on Universal Re-encryption

TL;DR: This work analyzes four schemes related to mix networks that make use of Universal Re-encryption and finds serious weaknesses in all of them and demonstrates that anonymous channels are not automatically composable: using two of them in a careless manner makes the system more vulnerable to attack.
Journal ArticleDOI

Privacy-preserving smart metering revisited

TL;DR: This work proposes a general model where a meter can output meter readings to multiple users, and where a user receives meter readings from multiple meters, and describes a protocol based on polynomial commitments that improves the efficiency of previous protocols for tariff policies that employ splines to compute the price due.