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Hill-climbing and brute-force attacks on biometric systems: A case study in Match-on-Card fingerprint verification
Universidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
Escuela Politecnica Superior, Univ. Autonoma de Madrid, Spain. (ATVS/Biometric Recognition Group)ORCID iD: 0000-0002-1400-346X
Universidad Autonoma de Madrid, Spain.
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2006 (English)In: Proceedings 2006: 40th Annual IEEE International Carnahan Conferences Security Technology, October 16-19, 2006, Lexington, Kentucky, Piscataway, N.J.: IEEE Press, 2006, 151-159 p.Conference paper, (Refereed)
Abstract [en]

In this paper, we study the robustness of state-of-theart automatic fingerprint verification systems against hill-climbing and brute-force attacks. We compare the performance of this type of attacks against two different minutiae-based systems, the NIST Fingerprint Image Software 2 (NFIS2) reference system and a Match-on-Card based system. In order to study their success rate, the attacks are analyzed and modified in each scenario. We focus on the influence of initial conditions in hill-climbing attacks, like the number of minutiae in the synthetically generated templates or the performance of each type of modification in the template. We demonstrate how slight modifications in the hill-climbing algorithm lead to very different success rates. © 2006 IEEE.

Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2006. 151-159 p.
Series
Conference on Crime Countermeasures and Security. Proceedings, ISSN 0737-1160
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-21251DOI: 10.1109/CCST.2006.313444ISI: 000243472000024Scopus ID: 2-s2.0-37849021856ISBN: 978-142440174-1 OAI: oai:DiVA.org:hh-21251DiVA: diva2:589371
Conference
40th Annual IEEE International Carnahan Conferences Security Technology, October 16-19, 2006, Lexington, Kentucky, USA, 2006
Available from: 2013-01-17 Created: 2013-01-17 Last updated: 2015-09-29Bibliographically approved

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Alonso-Fernandez, Fernando
Signal Processing

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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Language
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