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On the Vulnerability of Iris-Based Systems to a Software Attack Based on a Genetic Algorithm

by: Marta Gomez-Barrero, Javier Galbally, Pedro Tome, Julian Fierrez

edited by: Luis Alvarez, Marta Mejail, Luis Gomez, Julio Jacobo

In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Vol. 7441 (2012), pp. 114-121, doi:10.1007/978-3-642-33275-3_14  Key: citeulike:11961424

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Abstract

The vulnerabilities of a standard iris verification system to a novel indirect attack based on a binary genetic algorithm are studied. The experiments are carried out on the iris subcorpus of the publicly available BioSecure DB. The attack has shown a remarkable performance, thus proving the lack of robustness of the tested system to this type of threat. Furthermore, the consistency of the bits of the iris code is analysed, and a second working scenario discarding the fragile bits is then tested as a possible countermeasure against the proposed attack.


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