학술논문

Modelling of Pseudonymity under Probabilistic Linkability Attacks
Document Type
Conference
Source
2009 International Conference on Computational Science and Engineering Computational Science and Engineering, 2009. CSE '09. International Conference on. 3:160-167 Aug, 2009
Subject
Computing and Processing
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Computer networks
Protection
Analytical models
Context modeling
Data privacy
Communication networks
Surveillance
Transportation
Government
Data processing
privacy
pseudonymity
partial identity
unlinkability
Language
Abstract
This paper contributes to the field of measuring (un)linkability in communication systems; a subproblem of privacy protection. We propose an attacker state model for attacks on unlinkability of partial identities named linkability graph. It covers probabilistic linkability attacks based on heterogeneous and time-variant characteristics. From our model, we derive linkability measures and argue prospects for safeguard design. Our model reduces space and time complexity compared to other contributions in literature. This enables simulative privacyanalysis of complex context-aware systems that employ multiple partial identities per user.