A study on security evaluation methodology for image-based biometrics authentication systems

Authors:
Yasuhiro Tanabe;Kazuki Yoshizoe;Hideki Imai
Affiliations:
Graduate School of Science and Engineering, Chuo University, Tokyo, Japan;Japan Science and Technology Agency ERATO-SORST, Tokyo, Japan;Graduate School of Science and Engineering, Chuo University, Tokyo, Japan and Research Center for Information Security, National Institute of Advanced Industrial Science and Technology, Tokyo, Jap ...
Venue:
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Year:
2009

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Abstract

We propose here a security evaluation methodology of image-based biometrics authentication systems against wolf attacks. A wolf attack is an attempt to impersonate a victim by feeding wolves into the system to be attacked. The wolf is input data that can be falsely accepted as a match with multiple templates. To create a secure system, we must evaluate the possibility of wolf attacks. Existing studies have relied on theoretical analysis of algorithms carried out by human beings, which is only effective if theoretical analysis is possible. Therefore, we propose a more generic approach based on a search to assist the developers of matching algorithms. We searched for wolves by using a recently developed algorithm called Monte-Carlo Tree Search (MCTS). We succeeded in detecting wolves in a matching algorithm, which appears promising considering that this is the first trial for this kind of approach.