The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 머신러닝 공격에 대한 저항력을 강화한 링 오실레이터 기반 물리적 복제 방지 기능(PUF)을 위한 새로운 아키텍처인 MRO-PUF를 제안합니다. 제안된 PUF에서는 링 오실레이터의 순간 출력값을 응답으로 사용하는 반면, 기존의 대부분의 PUF는 전파 지연을 직접 사용하여 응답을 결정합니다. MRO-PUF의 응답은 링 발진기의 지연이 증가함에 따라 비선형적이고 불연속적이므로 기계 학습 공격에 의한 응답 예측이 어렵습니다. 시뮬레이션을 통한 MRO-PUF의 성능 평가를 통해, 서포트 벡터 머신을 이용한 머신러닝 공격에 대해 아비터 PUF, 쌍안정 링 PUF 등 기존 대비 15배 강한 저항력을 달성했다. MRO-PUF는 또한 고유성과 견고성 측면에서 PUF의 기본 성능을 충분한 수준으로 달성합니다.
Masayuki HIROMOTO
Kyoto University
Motoki YOSHINAGA
Kyoto University
Takashi SATO
Kyoto University
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부
Masayuki HIROMOTO, Motoki YOSHINAGA, Takashi SATO, "MRO-PUF: Physically Unclonable Function with Enhanced Resistance against Machine Learning Attacks Utilizing Instantaneous Output of Ring Oscillator" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 7, pp. 1035-1044, July 2018, doi: 10.1587/transfun.E101.A.1035.
Abstract: This paper proposes MRO-PUF, a new architecture for ring-oscillator-based physically unclonable functions (PUFs) with enhanced resistance against machine learning attacks. In the proposed PUF, an instantaneous output value of a ring oscillator is used as a response, whereas the most existing PUFs directly use propagation delays to determine the response. Since the response of the MRO-PUF is non-linear and discontinuous as the delay of the ring oscillator increases, the prediction of the response by machine learning attacks is difficult. Through the performance evaluation of the MRO-PUF with simulations, it achieves 15 times stronger resistance against machine learning attacks using a support vector machine compared to the existing ones such as an arbiter PUF and a bistable ring PUF. The MRO-PUF also achieves a sufficient level of the basic performance of PUFs in terms of uniqueness and robustness.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1035/_p
부
@ARTICLE{e101-a_7_1035,
author={Masayuki HIROMOTO, Motoki YOSHINAGA, Takashi SATO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={MRO-PUF: Physically Unclonable Function with Enhanced Resistance against Machine Learning Attacks Utilizing Instantaneous Output of Ring Oscillator},
year={2018},
volume={E101-A},
number={7},
pages={1035-1044},
abstract={This paper proposes MRO-PUF, a new architecture for ring-oscillator-based physically unclonable functions (PUFs) with enhanced resistance against machine learning attacks. In the proposed PUF, an instantaneous output value of a ring oscillator is used as a response, whereas the most existing PUFs directly use propagation delays to determine the response. Since the response of the MRO-PUF is non-linear and discontinuous as the delay of the ring oscillator increases, the prediction of the response by machine learning attacks is difficult. Through the performance evaluation of the MRO-PUF with simulations, it achieves 15 times stronger resistance against machine learning attacks using a support vector machine compared to the existing ones such as an arbiter PUF and a bistable ring PUF. The MRO-PUF also achieves a sufficient level of the basic performance of PUFs in terms of uniqueness and robustness.},
keywords={},
doi={10.1587/transfun.E101.A.1035},
ISSN={1745-1337},
month={July},}
부
TY - JOUR
TI - MRO-PUF: Physically Unclonable Function with Enhanced Resistance against Machine Learning Attacks Utilizing Instantaneous Output of Ring Oscillator
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1035
EP - 1044
AU - Masayuki HIROMOTO
AU - Motoki YOSHINAGA
AU - Takashi SATO
PY - 2018
DO - 10.1587/transfun.E101.A.1035
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2018
AB - This paper proposes MRO-PUF, a new architecture for ring-oscillator-based physically unclonable functions (PUFs) with enhanced resistance against machine learning attacks. In the proposed PUF, an instantaneous output value of a ring oscillator is used as a response, whereas the most existing PUFs directly use propagation delays to determine the response. Since the response of the MRO-PUF is non-linear and discontinuous as the delay of the ring oscillator increases, the prediction of the response by machine learning attacks is difficult. Through the performance evaluation of the MRO-PUF with simulations, it achieves 15 times stronger resistance against machine learning attacks using a support vector machine compared to the existing ones such as an arbiter PUF and a bistable ring PUF. The MRO-PUF also achieves a sufficient level of the basic performance of PUFs in terms of uniqueness and robustness.
ER -