Multibiometric based secure encryption and authentication scheme with fuzzy extractor

Mingwu Zhang, Bo Yang, Wenzheng Zhang, Tsuyoshi Takagi

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Encryption and authentication schemes suffice for the security of information stored or exchanged by different parties, but secure key generation and distribution is a highly non-trivial matter in cryptography. Fuzzy extractor is a security primitive, which can be used to encrypt and authenticate a message using his biometric b′ to reproduce extraction of an almost uniformly key from non-uniform source such as fingerprint and iris, voice sample etc, is allowed to decrypt ciphertexts created by biometric b, if and only if the two sets b and b′ are close to a measured set-overlap-distance metric. Biometric security systems are being widely used for the maximum level of security requirements because of the unique of participant's biometric characteristic. In this paper, it proposes a novel multiple biometric based encryption and authentication scheme that provides confidentiality, undeniability, unforgeability and verifiability. It employs multiple biometrics to encrypt the message, and with the help of public value produced by fuzzy extractor it can reproduce the secure key from distinction biometric to decrypt the ciphertext. It also gives the security analysis including semantic secure and unforgeable in the random oracle model.

Original languageEnglish
Pages (from-to)50-57
Number of pages8
JournalInternational Journal of Network Security
Volume12
Issue number1
Publication statusPublished - Jan 1 2011

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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