Zhengfeng Huang , Ruixiang Liu , Zezheng Wang , Yanrong Zhu , Jingchang Bian , Zhao Yang , Yingchun Lu , Yiming Ouyang , Huaguo Liang , Tianming Ni
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引用次数: 0
Abstract
Arbiter Physical Unclonable Functions (APUFs), widely used strong PUFs, are highly sensitive to environmental noise, yet the quantitative link between noise and reliability remains unclear. This paper introduces a Reliability-Noise-Delay (RND) quantification method grounded in statistical analysis of the APUF delay model. By modeling noise, we uncover CRP instability patterns under varying noise levels and derive a closed-form relationship between reliability and noise. Leveraging RND, the delay difference between last-stage paths is calculated without extra hardware by using environmental noise measurements and CRP reliability. We develop an efficient n-stages APUF modeling approach requiring only n+1 CRPs with known reliability, significantly reducing computational complexity and resource demands compared to conventional machine-learning techniques. Furthermore, we propose a screening strategy to identify high- and low-reliability CRPs: at a noise level of 0.15, low-reliability CRP reliability drops from 75 % (random) to 57 %, while high-reliability CRPs reach 99 %. Our method offers an effective tool for APUF modeling and optimization in noisy environments.
期刊介绍:
Published since 1969, the Microelectronics Journal is an international forum for the dissemination of research and applications of microelectronic systems, circuits, and emerging technologies. Papers published in the Microelectronics Journal have undergone peer review to ensure originality, relevance, and timeliness. The journal thus provides a worldwide, regular, and comprehensive update on microelectronic circuits and systems.
The Microelectronics Journal invites papers describing significant research and applications in all of the areas listed below. Comprehensive review/survey papers covering recent developments will also be considered. The Microelectronics Journal covers circuits and systems. This topic includes but is not limited to: Analog, digital, mixed, and RF circuits and related design methodologies; Logic, architectural, and system level synthesis; Testing, design for testability, built-in self-test; Area, power, and thermal analysis and design; Mixed-domain simulation and design; Embedded systems; Non-von Neumann computing and related technologies and circuits; Design and test of high complexity systems integration; SoC, NoC, SIP, and NIP design and test; 3-D integration design and analysis; Emerging device technologies and circuits, such as FinFETs, SETs, spintronics, SFQ, MTJ, etc.
Application aspects such as signal and image processing including circuits for cryptography, sensors, and actuators including sensor networks, reliability and quality issues, and economic models are also welcome.