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Title: MRO-PUF: Physically Unclonable Function With Enhanced Resistance Against Machine Learning Attacks Utilizing Instantaneous Output of Ring Oscillator
Authors: HIROMOTO, Masayuki
SATO, Takashi
Author's alias: 廣本, 正之
佐藤, 高史
Keywords: physically unclonable function (PUF)
chip identification
machine learning attacks
ring oscillator
Issue Date: 1-Jul-2018
Publisher: 電子情報通信学会
Journal title: IEICE Transactions of Fundamentals on Electronics, Communications and Computer Sciences
Volume: E101-A
Issue: 7
Start page: 1035
End page: 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.
Rights: © 2018 The Institute of Electronics, Information and Communication Engineers
DOI(Published Version): 10.1587/transfun.E101.A.1035
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