IEICE TRANSACTIONS on Fundamentals
Q-Class Authentication System for Double Arbiter PUF
Summary :
Physically Unclonable Function (PUF) is a cryptographic primitive that is based on physical property of each entity or Integrated Circuit (IC) chip. It is expected that PUF be used in security applications such as ID generation and authentication. Some responses from PUF are unreliable, and they are usually discarded. In this paper, we propose a new PUF-based authentication system that exploits information of unreliable responses. In the proposed method, each response is categorized into multiple classes by its unreliability evaluated by feeding the same challenges several times. This authentication system is named Q-class authentication, where Q is the number of classes. We perform experiments assuming a challenge-response authentication system with a certain threshold of errors. Considering 4-class separation for 4-1 Double Arbiter PUF, it is figured out that the advantage of a legitimate prover against a clone is improved form 24% to 36% in terms of success rate. In other words, it is possible to improve the tolerance of machine-learning attack by using unreliable information that was previously regarded disadvantageous to authentication systems.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.1 pp.129-137
- Publication Date
- 2018/01/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.129
- Type of Manuscript
- Special Section PAPER (Special Section on Cryptography and Information Security)
- Category
Authors
Risa YASHIRO
The University of Electro-Communications
Takeshi SUGAWARA
The University of Electro-Communications
Mitsugu IWAMOTO
The University of Electro-Communications
Kazuo SAKIYAMA
The University of Electro-Communications
Keyword
Latest Issue
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Risa YASHIRO, Takeshi SUGAWARA, Mitsugu IWAMOTO, Kazuo SAKIYAMA, "Q-Class Authentication System for Double Arbiter PUF" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 1, pp. 129-137, January 2018, doi: 10.1587/transfun.E101.A.129.
Abstract: Physically Unclonable Function (PUF) is a cryptographic primitive that is based on physical property of each entity or Integrated Circuit (IC) chip. It is expected that PUF be used in security applications such as ID generation and authentication. Some responses from PUF are unreliable, and they are usually discarded. In this paper, we propose a new PUF-based authentication system that exploits information of unreliable responses. In the proposed method, each response is categorized into multiple classes by its unreliability evaluated by feeding the same challenges several times. This authentication system is named Q-class authentication, where Q is the number of classes. We perform experiments assuming a challenge-response authentication system with a certain threshold of errors. Considering 4-class separation for 4-1 Double Arbiter PUF, it is figured out that the advantage of a legitimate prover against a clone is improved form 24% to 36% in terms of success rate. In other words, it is possible to improve the tolerance of machine-learning attack by using unreliable information that was previously regarded disadvantageous to authentication systems.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.129/_p
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@ARTICLE{e101-a_1_129,
author={Risa YASHIRO, Takeshi SUGAWARA, Mitsugu IWAMOTO, Kazuo SAKIYAMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Q-Class Authentication System for Double Arbiter PUF},
year={2018},
volume={E101-A},
number={1},
pages={129-137},
abstract={Physically Unclonable Function (PUF) is a cryptographic primitive that is based on physical property of each entity or Integrated Circuit (IC) chip. It is expected that PUF be used in security applications such as ID generation and authentication. Some responses from PUF are unreliable, and they are usually discarded. In this paper, we propose a new PUF-based authentication system that exploits information of unreliable responses. In the proposed method, each response is categorized into multiple classes by its unreliability evaluated by feeding the same challenges several times. This authentication system is named Q-class authentication, where Q is the number of classes. We perform experiments assuming a challenge-response authentication system with a certain threshold of errors. Considering 4-class separation for 4-1 Double Arbiter PUF, it is figured out that the advantage of a legitimate prover against a clone is improved form 24% to 36% in terms of success rate. In other words, it is possible to improve the tolerance of machine-learning attack by using unreliable information that was previously regarded disadvantageous to authentication systems.},
keywords={},
doi={10.1587/transfun.E101.A.129},
ISSN={1745-1337},
month={January},}
Copy
TY - JOUR
TI - Q-Class Authentication System for Double Arbiter PUF
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 129
EP - 137
AU - Risa YASHIRO
AU - Takeshi SUGAWARA
AU - Mitsugu IWAMOTO
AU - Kazuo SAKIYAMA
PY - 2018
DO - 10.1587/transfun.E101.A.129
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2018
AB - Physically Unclonable Function (PUF) is a cryptographic primitive that is based on physical property of each entity or Integrated Circuit (IC) chip. It is expected that PUF be used in security applications such as ID generation and authentication. Some responses from PUF are unreliable, and they are usually discarded. In this paper, we propose a new PUF-based authentication system that exploits information of unreliable responses. In the proposed method, each response is categorized into multiple classes by its unreliability evaluated by feeding the same challenges several times. This authentication system is named Q-class authentication, where Q is the number of classes. We perform experiments assuming a challenge-response authentication system with a certain threshold of errors. Considering 4-class separation for 4-1 Double Arbiter PUF, it is figured out that the advantage of a legitimate prover against a clone is improved form 24% to 36% in terms of success rate. In other words, it is possible to improve the tolerance of machine-learning attack by using unreliable information that was previously regarded disadvantageous to authentication systems.
ER -
English
