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

  • Authors:
  • Kei Nagai;Hiroaki Kikuchi;Wakaha Ogata;Masakatsu Nishigaki

  • Affiliations:
  • Tokai University;Tokai University;Tokyo Institute of Technology;Shizuoka University

  • Venue:
  • ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
  • Year:
  • 2007

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Abstract

We propose a cryptographic protocol for biometrics authentication without revealing personal biometrical data against malicious verifier. Our protocol uses a neural network and zero-knowledge interactive proof. In this paper, we developed a sample implementation system of our proposed protocol and we evaluate the performance and the accuracy of the proposed protocol. Especially, we study several algorithms for feature extraction of minutiae of fingerprint which is appropriate to our protocol. We examine false acceptance rates and rejection rates.