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.
Masayuki HIROMOTO
Kyoto University
Motoki YOSHINAGA
Kyoto University
Takashi SATO
Kyoto University
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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
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@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},}
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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 -