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Efficient Verifiabl...
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Abidin, Aysajan,1983Katholieke Universiteit Leuven
(author)
Efficient Verifiable Computation of XOR for Biometric Authentication
- Article/chapterEnglish2016
Publisher, publication year, extent ...
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2016-10-28
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Cham :Springer International Publishing,2016
Numbers
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LIBRIS-ID:oai:research.chalmers.se:333cf407-8bc8-4c7e-b00c-3246ae846a4f
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https://research.chalmers.se/publication/245547URI
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https://doi.org/10.1007/978-3-319-48965-0_17DOI
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Language:English
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Summary in:English
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Subject category:kon swepub-publicationtype
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Subject category:ref swepub-contenttype
Notes
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This work addresses the security and privacy issues in remote biometric authentication by proposing an efficient mechanism to verify the correctness of the outsourced computation in such protocols. In particular, we propose an efficient verifiable computation of XORing encrypted messages using an XOR linear message authentication code (MAC) and we employ the proposed scheme to build a biometric authentication protocol. The proposed authentication protocol is both secure and privacy-preserving against malicious (as opposed to honest-but-curious) adversaries. Specifically, the use of the verifiable computation scheme together with an homomorphic encryption protects the privacy of biometric templates against malicious adversaries. Furthermore, in order to achieve unlinkability of authentication attempts, while keeping a low communication overhead, we show how to apply Oblivious RAM and biohashing to our protocol. We also provide a proof of security for the proposed solution. Our simulation results show that the proposed authentication protocol is efficient.
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Aly, AbdelrahamanKatholieke Universiteit Leuven
(author)
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Rua, Enrique ArgonesKatholieke Universiteit Leuven
(author)
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Mitrokotsa, Aikaterini,1978Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)aikmitr
(author)
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Katholieke Universiteit LeuvenChalmers tekniska högskola
(creator_code:org_t)
Related titles
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In:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Cham : Springer International Publishing10052, s. 284-2981611-33490302-9743
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