Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-13708-2_22
Title: Secure sketch for multiple secrets
Authors: Fang, C.
Li, Q.
Chang, E.-C. 
Keywords: Biometric security
Multi-factor authentication
Sketch construction
Issue Date: 2010
Source: Fang, C.,Li, Q.,Chang, E.-C. (2010). Secure sketch for multiple secrets. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6123 LNCS : 367-383. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-13708-2_22
Abstract: Secure sketches are useful in extending cryptographic schemes to biometric data since they allow recovery of fuzzy secrets under inevitable noise. In practice, secrets derived from biometric data are seldom used alone, but typically employed in a multi-factor or a multimodality setting where multiple secrets with different roles and limitations are used together. To handle multiple secrets, we can generate a sketch for each secret independently and simply concatenate them. Alternatively, we can "mix" the secrets and individual sketches, for example, by taking the first secret as the key to encrypt the sketches of all other secrets. Hence, it is interesting to investigate how the secrets are to be mixed so as to cater for different requirements of individual secrets. We found that, by appropriate mixing, entropy loss on more important secrets (e.g., biometrics) can be "diverted" to less important ones (e.g., password or PIN), thus providing more protection to the former. On the other hand, we found that mixing may not be advisable if the amount of randomness invested in sketch construction is large, or the sketch contains high redundancy, or all secrets are of the same importance. Our analysis provides useful insights and guidelines in the applications of secure sketches in biometric systems. © 2010 Springer-Verlag Berlin Heidelberg.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41690
ISBN: 3642137075
ISSN: 03029743
DOI: 10.1007/978-3-642-13708-2_22
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