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• W2610545528 abstract "In a profile-based authentication system, a user profile is stored at the verifier and later used to verify their authentication claim. A profile includes user-specific information that is privacy sensitive. In this paper we propose a non-cryptographic approach to providing privacy for user profile data in profile-based authentication systems, using an efficient construction of random projection: a linear dimension reducing transform that projects the profile and the verification data to a lower dimension space, while preserving relative distances of the vectors and so correctness of authentication. We define privacy measures for two types of profiles: a single vector profile and a multivector profile, derive theoretical bounds on the privacy and correctness of privacy enhanced systems, and verify the results experimentally on two profile-based authentication systems: a face-biometric system and a behavioural based authentication system. We discuss our results and propose directions for future research." @default.
• W2610545528 created "2017-05-12" @default.
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• W2610545528 date "2017-01-01" @default.
• W2610545528 modified "2023-09-24" @default.
• W2610545528 title "Privacy-Enhanced Profile-Based Authentication Using Sparse Random Projection" @default.
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• W2610545528 doi "https://doi.org/10.1007/978-3-319-58469-0_32" @default.
• W2610545528 hasPublicationYear "2017" @default.
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