Titlebook: Security and Privacy in Biometrics; Patrizio Campisi Book 2013 Springer-Verlag London 2013 Biometric Encryption.Fuzzy Commitment.Fuzzy Vau

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s of biometric-based recognition systems.Covers ethical, leg.This important text/reference presents the latest secure and privacy-compliant techniques in automatic human recognition. Featuring viewpoints from an international selection of experts in the field, the comprehensive coverage spans both t

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Security and Privacy in Biometrics: Towards a Holistic Approach,ave started investigating it as a joint optimization problem which needs to be tackled from both a legal, procedural, and a technological point of view. Therefore in this chapter we take a holistic approach and we introduce some basics about the privacy and the security issues which can affect a bio

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Secure Sketches for Protecting Biometric Templates,ever, unlike user credentials in traditional security systems, such as passwords or tokens, biometric features cannot be consistently sampled, and the matching process can be complex. Furthermore, the consequences of losing biometric data can be far more severe than passwords or tokens. Secure sketc

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Privacy Leakage in Binary Biometric Systems: From Gaussian to Binary Data,ted biometric sequences. Moreover, a secret key, which is independent of the biometric sequences, is selected at the first terminal. The first terminal binds this secret key to the observed biometric sequence and communicates it to the second terminal by sending a public message. This message should

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Obtaining Cryptographic Keys Using Multi-biometrics,mmodate more subjects, and higher security against spoofing. Unfortunately, as in case of uni-biometric systems, multi-biometric systems also face the problems of nonrevocability, lack of template diversity, and possibility of privacy compromise. A combination of biometrics and cryptography is a goo

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Privacy-Aware Processing of Biometric Templates by Means of Secure Two-Party Computation, particular care, since biometric data is indissolubly tied to the identity of the owner hence raising important security and privacy issues. This chapter focuses on the latter, presenting an innovative approach that, by relying on tools borrowed from Secure Two Party Computation (STPC) theory, perm

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