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Security and Communication Networks
Article . 2011 . Peer-reviewed
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Protection of minutiae‐based templates using biocryptographic constructs in the set difference metric

Authors: Arathi Arakala; K. J. Horadam; Jason Jeffers; Serdar Boztaş;

Protection of minutiae‐based templates using biocryptographic constructs in the set difference metric

Abstract

AbstractFingerprint biometric authentication has particular advantages in a highly mobile environment. We investigate design issues involved in building authentication systems using minutia‐based fingerprint templates, where the template is protected during comparison as well as storage. Two popular bio‐cryptographic schemes based on the set difference metric, the Fuzzy Vault and PinSketch, are analysed with regard to theoretical bounds on the template sizes and decision thresholds. We define six different minutiae‐based templates and for each, quantisation parameters are determined that yield the best matching performance at a threshold where the probability of false match is zero. We then determine which, if any, of the representations satisfy the theoretical bounds proposed for each bio‐cryptographic construct. We implement a PinSketch‐based authentication system that uses a combination of a commonality and a set difference measure to securely compare two fingerprint templates, with negligible deterioration in accuracy. Our results indicate that to securely correct the degree of intra‐sample error observed in minutiae‐based templates, efficient commonality‐based error tolerant cryptographic constructs will be more suited than set difference based constructs. Copyright © 2010 John Wiley & Sons, Ltd.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
gold