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A hybrid template protection approach using secure sketch and ANN for strong biometric key generation with revocability guarantee
Joint Authors
Dang, Tran Khanh
Huynh, Van Quoc Phuong
Truong, Hai
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 2 (31 Mar. 2018), pp.331-340, 10 p.
Publisher
Publication Date
2018-03-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Nowadays, biometric recognition has been widely applied in various aspects of security applications because of its safety and convenience.
However, unlike passwords or tokens, biometric features are naturally noisy and cannot be revoked once they are compromised.
Overcoming these two weaknesses is an essential and principal demand.
With a hybrid approach, we propose a scheme that combines the Artificial Neural Network (ANN) and the Secure Sketch concept to generate strong keys from a biometric trait while guaranteeing revocability, template protection and noisy tolerance properties.
The ANN with high noisy tolerance capacity enhances the recognition by learning the distinct features of a person, assures the revocable and non-invertible properties for the transformed template.
The error correction ability of a Secure Sketch concept’s construction significantly reduces the false rejection rate for the enroller.
To assess the scheme’s security, the average remaining entropy is measured on the generated keys.
Empirical experiments with standard datasets demonstrate that our scheme is able to achieve a good trade-off between the security and the recognition performance when being applied with the face biometrics.
American Psychological Association (APA)
Dang, Tran Khanh& Huynh, Van Quoc Phuong& Truong, Hai. 2018. A hybrid template protection approach using secure sketch and ANN for strong biometric key generation with revocability guarantee. The International Arab Journal of Information Technology،Vol. 15, no. 2, pp.331-340.
https://search.emarefa.net/detail/BIM-838618
Modern Language Association (MLA)
Dang, Tran Khanh…[et al.]. A hybrid template protection approach using secure sketch and ANN for strong biometric key generation with revocability guarantee. The International Arab Journal of Information Technology Vol. 15, no. 2 (Mar. 2018), pp.331-340.
https://search.emarefa.net/detail/BIM-838618
American Medical Association (AMA)
Dang, Tran Khanh& Huynh, Van Quoc Phuong& Truong, Hai. A hybrid template protection approach using secure sketch and ANN for strong biometric key generation with revocability guarantee. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 2, pp.331-340.
https://search.emarefa.net/detail/BIM-838618
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 340
Record ID
BIM-838618