A Lightweight Authentication Protocol against Modeling Attacks based on a Novel LFSR-APUF
Yao Wang, Xue Mei, Zhengtai Chang, Wenbing Fan, Benqing Guo, and Zhi Quan

TL;DR
This paper introduces a novel LFSR-APUF that enhances resistance to modeling attacks and proposes a lightweight authentication protocol that ensures secure device authentication and network integrity.
Contribution
It presents a new LFSR-APUF design that obfuscates challenge-response mappings and a lightweight, secure authentication protocol incorporating dynamic obfuscation and private bit conversion.
Findings
LFSR-APUF resists various modeling attacks with a prediction rate of 51.79%.
The authentication protocol effectively resists spoofing, physical, and modeling attacks.
The protocol maintains security even if the server is fully compromised.
Abstract
Simple authentication protocols based on conventional physical unclonable function (PUF) are vulnerable to modeling attacks and other security threats. This paper proposes an arbiter PUF based on a linear feedback shift register (LFSR-APUF). Different from the previously reported linear feedback shift register for challenge extension, the proposed scheme feeds the external random challenges into the LFSR module to obfuscate the linear mapping relationship between the challenge and response. It can prevent attackers from obtaining valid challenge-response pairs (CRPs), increasing its resistance to modeling attacks significantly. A 64-stage LFSR-APUF has been implemented on a field programmable gate array (FPGA) board. The experimental results reveal that the proposed design can effectively resist various modeling attacks such as logistic regression (LR), evolutionary strategy (ES),…
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Taxonomy
TopicsPhysical Unclonable Functions (PUFs) and Hardware Security · Integrated Circuits and Semiconductor Failure Analysis · Neuroscience and Neural Engineering
