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MRO-PUF: Physically Unclonable Function with Enhanced Resistance against Machine Learning Attacks Utilizing Instantaneous Output of Ring Oscillator
Masayuki HIROMOTO Motoki YOSHINAGA Takashi SATO
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2018/07/01
Online ISSN: 1745-1337
Type of Manuscript: Special Section PAPER (Special Section on Design Methodologies for System on a Chip)
physically unclonable function (PUF), chip identification, machine learning attacks, ring oscillator,
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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.