University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Two strategies to optimize the decisions in signature verification with the presence of spoofing attacks

Yu, S, Ai, Y, Xu, B, Zhou, Y, Li, W, Liao, Q and Poh, N (2016) Two strategies to optimize the decisions in signature verification with the presence of spoofing attacks Information Sciences, 352-35. pp. 188-202.

Full text not available from this repository.

Abstract

A conventional biometric authentication system is often designed to distinguish genuine accesses from zero-effort impostor attacks. However, when operating in an adversarial environment, the system has to be robust against presentation attacks such as spoofing. An effective solution to reduce the impact of spoofing attack is to consider both the matching score and liveness score when making the accept/reject decision. In this paper, we consider the joint decision space of matching and liveness scores in the presence of both spoofing attack and zero-effort attack, with application to signature verification. Our investigation aims to understand how decision thresholds in the above space should be optimized. This leads to two dichotomies of methods, namely brute-force approach versus probabilistic approach; and single threshold versus double-threshold approach. This view leads to three novel methods that have never been reported. Based on the experimental results carried out on an off-line signature database, the novel methods turn out to outperform simpler methods with only matching score.

Item Type: Article
Subjects : Computing
Authors :
NameEmailORCID
Yu, SUNSPECIFIEDUNSPECIFIED
Ai, YUNSPECIFIEDUNSPECIFIED
Xu, BUNSPECIFIEDUNSPECIFIED
Zhou, YUNSPECIFIEDUNSPECIFIED
Li, WUNSPECIFIEDUNSPECIFIED
Liao, QUNSPECIFIEDUNSPECIFIED
Poh, Nn.poh@surrey.ac.ukUNSPECIFIED
Date : 10 March 2016
Identification Number : https://doi.org/10.1016/j.ins.2016.03.005
Copyright Disclaimer : © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords : Biometric authentication; Spoofing attack; Liveness score; Brute-force; Probabilistic
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:53
Last Modified : 18 May 2017 12:53
URI: http://epubs.surrey.ac.uk/id/eprint/840693

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800