Research on a Deepfake based spoofing attack for e-KYC and its countermeasures.
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- KAWANA Non
- Hitachi, Ltd.
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- NAGANUMA Ken
- Hitachi, Ltd.
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- YOSHINO Masayuki
- Hitachi, Ltd.
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- OTAHARA Chiaki
- Hitachi, Ltd.
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- TOGASHI Yumiko
- Hitachi, Ltd.
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- SASA Shinya
- Hitachi, Ltd.
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- YAMAMOTO Kyohei
- Hitachi, Ltd.
Bibliographic Information
- Other Title
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- Deepfakeを用いたe-KYCに対するなりすまし攻撃と対策の検討
Description
<p>e-KYC: electric-Know Your Costumer is a system in which user authentification is performed via images/videos over the Internet for opening an account at a bank. Also, its procedures are performed non-face-to-face. In this paper, we experimented to see if it is possible to spoof a user authentification such as e-KYC by using Deepfake. In this paper's experiment, we first made an original e-KYC application based on OSSs and applied Deepfake attack for this system. More precisely, our e-KYC application requests random actions, such as ‘tilting your face’, to the user and verifies it with the stored image. As a result of the experiment, the spoofing attack was successful; that means our Deepfake attack is turned out to be a practical thread for e-KYC. Also, we summarize some countermeasure technologies against this attack.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2021 (0), 1F2GS10a02-1F2GS10a02, 2021
The Japanese Society for Artificial Intelligence
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Keywords
Details 詳細情報について
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- CRID
- 1390288370500605312
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- NII Article ID
- 130008051562
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- ISSN
- 27587347
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed