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Lookup NU author(s): Mokhled Al-Tarawneh, Dr Wai Lok Woo, Emeritus Professor Satnam Dlay
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This paper presents feature vector based fuzzy vault method for cryptographic key generation from fingerprint data. The proposed method not only outputs high entropy keys, but also conceals the original biometric data such that it is impossible to recover the biometric data even when the stored information in the system is open to an attacker. Simulated results have demonstrated that constructed Fuzzy Vault Crypto Biometric Key Based on Fingerprint Vector Features addresses a replacement of minutiae fingerprint vault representation, where the vector features are used to form the lock set. The size of the fuzzy vault and the degree of the underlying polynomial are needed for reaching the reliable investigated binded key. This results in a high unlocking complexity for attackers with an acceptable unlocking accuracy for the legal users. © 2008 IEEE.
Author(s): Al-Tarawneh M, Woo WL, Dlay SS
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 6th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2008)
Year of Conference: 2008
Pages: 452-456
Publisher: IEEE
URL: http://dx.doi.org/10.1109/CSNDSP.2008.4610727
DOI: 10.1109/CSNDSP.2008.4610727
Library holdings: Search Newcastle University Library for this item
ISBN: 9781424418756
