General Framework to Evaluate Unlinkability in Biometric Template Protection Systems

November 08, 2023 Β· Declared Dead Β· πŸ› IEEE Transactions on Information Forensics and Security

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Authors Marta Gomez-Barrero, Javier Galbally, Christian Rathgeb, Christoph Busch arXiv ID 2311.04633 Category cs.CV: Computer Vision Citations 213 Venue IEEE Transactions on Information Forensics and Security Last Checked 4 months ago
Abstract
The wide deployment of biometric recognition systems in the last two decades has raised privacy concerns regarding the storage and use of biometric data. As a consequence, the ISO/IEC 24745 international standard on biometric information protection has established two main requirements for protecting biometric templates: irreversibility and unlinkability. Numerous efforts have been directed to the development and analysis of irreversible templates. However, there is still no systematic quantitative manner to analyse the unlinkability of such templates. In this paper we address this shortcoming by proposing a new general framework for the evaluation of biometric templates' unlinkability. To illustrate the potential of the approach, it is applied to assess the unlinkability of four state-of-the-art techniques for biometric template protection: biometric salting, Bloom filters, Homomorphic Encryption and block re-mapping. For the last technique, the proposed framework is compared with other existing metrics to show its advantages.
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