Untraceable electronic mail, return addresses, and digital pseudonyms
Communications of the ACM
Proceedings of the second ACM workshop on Digital identity management
Measuring Anonymity: The Disclosure Attack
IEEE Security and Privacy
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
A framework for quantification of linkability within a privacy-enhancing identity management system
ETRICS'06 Proceedings of the 2006 international conference on Emerging Trends in Information and Communication Security
Statistical disclosure or intersection attacks on anonymity systems
IH'04 Proceedings of the 6th international conference on Information Hiding
Reasoning about the anonymity provided by pool mixes that generate dummy traffic
IH'04 Proceedings of the 6th international conference on Information Hiding
The hitting set attack on anonymity protocols
IH'04 Proceedings of the 6th international conference on Information Hiding
Practical traffic analysis: extending and resisting statistical disclosure
PET'04 Proceedings of the 4th international conference on Privacy Enhancing Technologies
On the Impact of Social Network Profiling on Anonymity
PETS '08 Proceedings of the 8th international symposium on Privacy Enhancing Technologies
Using Linkability Information to Attack Mix-Based Anonymity Services
PETS '09 Proceedings of the 9th International Symposium on Privacy Enhancing Technologies
Quantification of Anonymity for Mobile Ad Hoc Networks
Electronic Notes in Theoretical Computer Science (ENTCS)
The wisdom of crowds: attacks and optimal constructions
ESORICS'09 Proceedings of the 14th European conference on Research in computer security
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We discuss information-theoretic anonymity metrics, that use entropy over the distribution of all possible recipients to quantify anonymity. We identify a common misconception: the entropy of the distribution describing the potentialreceivers does not always decrease given more information.We show the relation of these a-posteriori distributions with the Shannon conditional entropy, which is an average overall possible observations.