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Information Leakage as a Model for Quality of Anonymity Networks

Published: 01 April 2009 Publication History

Abstract

Measures for anonymity in systems must be on one hand simple and concise, and on the other hand reflect the realities of real systems. Such systems are heterogeneous, as are the ways they are used, the deployed anonymity measures, and finally the possible attack methods. Implementation quality and topologies of the anonymity measures must be considered as well. We therefore propose a new measure for the anonymity degree, that takes into account these various. We model the effectiveness of single mixes or of mix networks in terms of information leakage, and we measure it in terms of covert channel capacity. The relationship between the anonymity degree and information leakage is described, and an example is shown.

Cited By

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  • (2018)A probabilistic model for anonymity analysis of anonymous communication networksTelecommunications Systems10.1007/s11235-018-0454-069:2(171-186)Online publication date: 1-Oct-2018
  • (2018)Evaluation of anonymity and confidentiality protocols using theorem provingFormal Methods in System Design10.1007/s10703-015-0232-547:3(265-286)Online publication date: 28-Dec-2018
  • (2012)Quantitative analysis of information flow using theorem provingProceedings of the 14th international conference on Formal Engineering Methods: formal methods and software engineering10.1007/978-3-642-34281-3_11(119-134)Online publication date: 12-Nov-2012

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Published In

cover image IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems  Volume 20, Issue 4
April 2009
160 pages

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IEEE Press

Publication History

Published: 01 April 2009

Author Tags

  1. Anonymity
  2. Covert Channel
  3. Information Leakage

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Cited By

View all
  • (2018)A probabilistic model for anonymity analysis of anonymous communication networksTelecommunications Systems10.1007/s11235-018-0454-069:2(171-186)Online publication date: 1-Oct-2018
  • (2018)Evaluation of anonymity and confidentiality protocols using theorem provingFormal Methods in System Design10.1007/s10703-015-0232-547:3(265-286)Online publication date: 28-Dec-2018
  • (2012)Quantitative analysis of information flow using theorem provingProceedings of the 14th international conference on Formal Engineering Methods: formal methods and software engineering10.1007/978-3-642-34281-3_11(119-134)Online publication date: 12-Nov-2012

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