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Pseudo-LFSR PUF: A Compact, Efficient and Reliable Physical Unclonable Function

Authors: Yohei Hori; Hyunho Kang; Toshihiro Katashita; Akashi Satoh;

Pseudo-LFSR PUF: A Compact, Efficient and Reliable Physical Unclonable Function

Abstract

A physical unclonable function (PUF) with a novel hardware architecture called Pseudo-LFSR PUF (PL-PUF) is developed. The structure of the PL-PUF is based on LFSR but it actually is large combinational logic. The long feedback signal of the PL-PUF effectively extracts the device variation, and consequently the output IDs generated in the different devices become completely dissimilar. The advantages of the PL-PUF are that (1) the size of the circuit is small since it simply consists of inverters and a few XOR gates, (2) it efficiently outputs a long-bit ID since all n bits of the ID are simultaneously output from a single n-bit challenge, and (3) the challenge-response mapping of PL-PUF can be easily changed without modifying its hardware structure. The reliability of the PL-PUF is also examined in terms of False Acceptance Rate (FAR) and False Rejection Rate (FRR) through the experimentation using FPGAs. The empirical results show that the intra-device Hamming distance among IDs generated in the same PL-PUF is quite small, the inter-device Hamming distance among IDs in different PL-PUFs is sufficiently large. As a consequent, it is demonstrated that the PL-PUF has quite low FAR/FRR and is quite effective for device identification and other security-sensitive applications. This paper describes the structure of the PL-PUF in detail and presents the experimental results of the performance evaluation using Virtex-5 FPGAs.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Average
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