ZeroBio - Evaluation and Development of Asymmetric Fingerprint Authentication System Using Oblivious Neural Network Evaluation Protocol

Nagai, K.; Kikuchi, Hiroaki; Ogata, Wakaha; Nishigaki, Masakatsu

doi:10.1109/ares.2007.162

Cited by 6 publications

(1 citation statement)

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“…The approach that is closest to our proposed one is termed ZeroBio authentication, proposed by Nagai et al [12]. It makes use of client side computation and communication between the client and the server to classify a biometric feature vector using a 3-layer neural network.…”

Section: Introductionmentioning

confidence: 99%

Efficient Biometric Verification in Encrypted Domain

Upmanyu

Namboodiri

Srinathan

et al. 2009

Advances in Biometrics

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Abstract. Biometric authentication over public networks leads to a variety of privacy issues that needs to be addressed before it can become popular. The primary concerns are that the biometrics might reveal more information than the identity itself, as well as provide the ability to track users over an extended period of time. In this paper, we propose an authentication protocol that alleviates these concerns. The protocol takes care of user privacy, template protection and trust issues in biometric authentication systems. The protocol uses asymmetric encryption, and captures the advantages of biometric authentication. The protocol provides non-repudiable identity verification, while not revealing any additional information about the user to the server or vice versa. We show that the protocol is secure under various attacks. Experimental results indicate that the overall method is efficient to be used in practical scenarios.

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Section: Introductionmentioning

confidence: 99%