Order statistics based collision analysis for PUFs

Vaidya, G and Singh, C and Prabhakar, TV (2021) Order statistics based collision analysis for PUFs. In: 7th National Conference on Communications, 27-30 jul 2021, Kanpur.

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Abstract

Physically unclonable functions (PUFs) exploit the inherent manufacturing variations for generating a device identifier. However, different devices may map to the same identifier causing a 'collision'. It is imperative to determine the probability of such collisions before a PUF is deployed for an application. We present a framework that computes the collision probabilities based on its inter-device and intra-device variations. This framework could be used for determining the collision probabilities, tuning the PUF attributes as well as to compare different PUF implementations. We demonstrate the use of our framework for real-world applications by comparing the results from our analyses with data from experiments and numerical simulation. © 2021 IEEE.

Item Type:	Conference Paper
Publication:	2021 National Conference on Communications, NCC 2021
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Collision analysis; Collision probability; Device ID; Device variations; Manufacturing Variation; Order-statistics; Physically unclonable functions; Real-world; Statistic-based, Probability
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	07 Dec 2021 10:21
Last Modified:	07 Dec 2021 10:21
URI:	http://eprints.iisc.ac.in/id/eprint/70376

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