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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Haslinah Mohd Nasir
Advanced Sensors and Embedded Control Systems (ASECs), Centre for Telecommunication Research and Innovation (CeTRI), Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik, Universiti Teknikal Malaysia Melaka
Computer Science & IT Electrical & Electronics Engineering

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Design and Implementation of Multiplexed and Obfuscated Physical Unclonable Function Mohd Syafiq Mispan; Hafez Sarkawi; Aiman Zakwan Jidin; Radi Husin Ramlee; Haslinah Mohd Nasir
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 9, No 1: March 2021
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v9i1.2664

Abstract

Model building attack on Physical Unclonable Functions (PUFs) by using machine learning (ML) techniques has been a focus in the PUF research area. PUF is a hardware security primitive which can extract unique hardware characteristics (i.e., device-specific) by exploiting the intrinsic manufacturing process variations during integrated circuit (IC) fabrication. The nature of the manufacturing process variations which is random and complex makes a PUF realistically and physically impossible to clone atom-by-atom. Nevertheless, its function is vulnerable to model-building attacks by using ML techniques. Arbiter-PUF is one of the earliest proposed delay-based PUFs which is vulnerable to ML-attack. In the past, several techniques have been proposed to increase its resiliency, but often has to sacrifice the reproducibility of the Arbiter-PUF response. In this paper, we propose a new derivative of Arbiter-PUF which is called Mixed Arbiter-PUF (MA-PUF). Four Arbiter-PUFs are combined and their outputs are multiplexed to generate the final response. We show that MA-PUF has good properties of uniqueness, reliability, and uniformity. Moreover, the resilient of MA-PUF against ML-attack is 15% better than a conventional Arbiter-PUF. The predictability of MA-PUF close to 65% could be achieved when combining with challenge permutation technique.
Co-Authors Aiman Zakwan Jidin Hafez Sarkawi Mohd Syafiq Mispan Radi Husin Ramlee