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Multibiometric Based Secure Encryption and Authentication Scheme with Fuzzy Extractor

並列摘要


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 cipher-text. It also gives the security analysis including semantic secure and unforgeable in the random oracle model.

被引用紀錄


黃建超(2012)。運用六標準差降低TFT-LCD製程廢水總氮含量之研究〔碩士論文,元智大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0009-2801201415004417

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