Conference Papers Year : 2025

A Fuzzy Logic-Based System for Detecting Trustable Physical Unclonable Functions

Abstract

Physical Unclonable Functions (PUFs) provide a promising security mechanism by leveraging inherent process variations to generate unique, hardware-bound secrets without requiring secure storage. However, ensuring PUF reliability and detecting potential tampering remain critical challenges. This paper presents a fuzzy logic-based classification system that determines the authenticity of PUF responses using three key metrics: Reliability, Stability, and Reliability Invariance. The system classifies PUF responses into three categories: Trustable, Tampered, and Undecided. This approach enhances the automatic detection of unreliable responses that may indicate tampering while ensuring the fidelity of PUF responses over time. By applying fuzzy inference rules, our method achieves high accuracy in distinguishing between trustworthy and compromised PUFs. Experimental results demonstrate the effectiveness of our approach, making it a valuable method and tool for hardware security applications.

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hal-05194620 , version 1 (31-07-2025)

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Mohammad Reza Heidari Iman, Sergio Vinagrero Gutierrez, Ioana Vatajelu, Giorgio Di Natale. A Fuzzy Logic-Based System for Detecting Trustable Physical Unclonable Functions. 31st IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS 2025), Jul 2025, Ischia, Italy. ⟨10.1109/IOLTS65288.2025.11117171⟩. ⟨hal-05194620⟩
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