Wolf fingerprints against minutiae count matching systems
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概要
- 論文の詳細を見る
Wolf attack is a new kind of biometric specific vulnerability and wolf attack probability is defined as a maximum success probability of the wolf attack with one wolf sample. From a theoretical point of view, a possible approach for describing wolf attack probability has been proposed in recent years, yet very little is known about practical approach in using a minutiae pattern. In this paper we propose a making method of wolf fingerprints to show vulnerability against simple count matching system. Even though this approach is valid only in a simple model, it is closely related to wolf attack against the real fingerprint systems. The experimental results show that wolf fingerprint using a minutiae pattern can get very high wolf attack probability.
- The Institute of Electronics, Information and Communication Engineersの論文
著者
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Imai Hideki
Research Center For Information Security (rcis) National Institute Of Advanced Industrial Science &a
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Otsuka Akira
Research Center For Information Security (rcis) National Institute Of Advanced Industrial Science An
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Inuma Manabu
Research Center For Information Security (rcis) National Institute Of Advanced Industrial Science An
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Yonezawa Shoko
Research Center for Information Security (RCIS), National Institute of Advanced Industrial Science and Technology (AIST)
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Kang Hyunho
Research and Development Initiative, Chuo University
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