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RPUF: Physical Unclonable Function with Randomized Challenge to resist modeling attack

机译:RPUF:具有克隆挑战的物理不可克隆功能,可抵抗建模攻击

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The Physical Unclonable Function (PUF) has broad application prospects in the field of hardware security. The strong PUFs with numerous Challenge-Response Pairs (CRPs), such as various arbiter PUFs, mirror current PUF, and voltage transfer PUF, are severely threatened by the machine learning based modeling attacks. To handle this issue, we propose the Physical Unclonable Function with Randomized challenge (RPUF). Challenges are randomized by a Random Number Generator (RNG) before inputting to the strong PUF, so to prevent attackers from collecting effective training set for conducting modeling attacks. Experiments on both simulations and FPGAs prove the effectiveness of RPUF in resisting modeling attack, with negligible effects on uniformity, uniqueness, and reliability.
机译:物理不可克隆功能(PUF)在硬件安全领域具有广阔的应用前景。基于机器学习的建模攻击严重威胁了具有众多质询-响应对(CRP)的强大PUF,例如各种仲裁器PUF,镜像电流PUF和电压传输PUF。为了解决此问题,我们提出了具有随机挑战的物理不可克隆功能(RPUF)。在输入强大的PUF之前,随机数生成器(RNG)将挑战随机化,以防止攻击者收集有效的训练集来进行建模攻击。通过仿真和FPGA进行的实验证明了RPUF抵抗建模攻击的有效性,对均匀性,唯一性和可靠性的影响可以忽略不计。

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