ESORICS '96 Proceedings of the 4th European Symposium on Research in Computer Security: Computer Security
Key-Privacy in Public-Key Encryption
ASIACRYPT '01 Proceedings of the 7th International Conference on the Theory and Application of Cryptology and Information Security: Advances in Cryptology
Group Principals and the Formalization of Anonymity
FM '99 Proceedings of the Wold Congress on Formal Methods in the Development of Computing Systems-Volume I - Volume I
Basic Concepts and Taxonomy of Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing
Information hiding, anonymity and privacy: a modular approach
Journal of Computer Security - Special issue on WITS'02
An Indistinguishability-Based Characterization of Anonymous Channels
PETS '08 Proceedings of the 8th international symposium on Privacy Enhancing Technologies
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
Formal privacy analysis of communication protocols for identity management
ICISS'11 Proceedings of the 7th international conference on Information Systems Security
On the limits of provable anonymity
Proceedings of the 12th ACM workshop on Workshop on privacy in the electronic society
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In the last years several attempts to define identity-related properties such as identifiability, pseudonymity and anonymity have been made to analyze the privacy offered by information systems and protocols. However, these definitions are generally incomparable, making it difficult to generalize the results of their analysis. In this paper, we propose a novel framework for formalizing and comparing identity-related properties. The framework employs the notions of detectability, associability and provability to assess the knowledge of an adversary. We show how these notions can be used to specify well-known identity-related properties and classify them with respect to their logical relations and privacy strength. We also demonstrate that the proposed framework is able to capture and compare several existing definitions of identity-related properties.