Crowds: anonymity for Web transactions
ACM Transactions on Information and System Security (TISSEC)
Untraceable electronic mail, return addresses, and digital pseudonyms
Communications of the ACM
ESORICS '96 Proceedings of the 4th European Symposium on Research in Computer Security: Computer Security
Limits of Anonymity in Open Environments
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
CSFW '05 Proceedings of the 18th IEEE workshop on Computer Security Foundations
Anonymity vs. Information Leakage in Anonymity Systems
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Fundamental Limits on the Anonymity Provided by the MIX Technique
SP '06 Proceedings of the 2006 IEEE Symposium on Security and Privacy
Anonymity and information hiding in multiagent systems
Journal of Computer Security
Proceedings of the second ACM workshop on Digital identity management
Information hiding, anonymity and privacy: a modular approach
Journal of Computer Security - Special issue on WITS'02
Towards an information theoretic metric for anonymity
PET'02 Proceedings of the 2nd international conference on Privacy enhancing technologies
PET'02 Proceedings of the 2nd international conference on Privacy enhancing technologies
Measuring anonymity with relative entropy
FAST'06 Proceedings of the 4th international conference on Formal aspects in security and trust
The hitting set attack on anonymity protocols
IH'04 Proceedings of the 6th international conference on Information Hiding
A practical complexity-theoretic analysis of mix systems
ESORICS'11 Proceedings of the 16th European conference on Research in computer security
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A number of papers are suggested with the goal to measure the quality of anonymity of a given anonymity system. Most of them use the anonymity set as the basis for developing, reasoning about and applying measure. In this paper we argue that these approaches are premature. In this work we suggest to use the so called hypothesis set --- a term derived from possibilistic information flow theory. Investigating the hypothesis set, it is possible to make the "protection structure" explicit and also define well known terms from measurement theory like scale and metric. We demonstrate our approach by evaluating the hypothesis set of the classical Chaumian Mix.