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MVL-PUFs: multiple-valued logic physical unclonable functions
KTH, School of Information and Communication Technology (ICT), Electronics.ORCID iD: 0000-0002-4691-2318
KTH, School of Information and Communication Technology (ICT), Electronics.ORCID iD: 0000-0001-7382-9408
2017 (English)In: International journal of circuit theory and applications, ISSN 0098-9886, E-ISSN 1097-007X, Vol. 45, no 2, 292-304 p.Article in journal (Refereed) Published
Abstract [en]

Physical unclonable functions (PUFs) are promising hardware security primitives suitable for protecting resource-constrained devices. In this paper, we propose to use multiple-valued logic (MVL) for implementing hardware-efficient PUF integrated circuits. We show that by extracting device mismatch in either current-mode or voltage-mode MVL comparators, the proposed PUF circuits can generate unique and reliable chip identifiers. In order to stabilize PUF responses, we utilize multiple thresholds of MVL comparators, whose outputs are selected and combined according to the sensed temperature. To reduce power and further enhance reliability, the PUF circuits are biased in the weak-inversion region. Evaluation results show that the proposed MVL-PUFs are unique and reliable over a wide temperature range. In addition, they significantly improve the energy efficiency of the state-of-the-art PUFs.

Place, publisher, year, edition, pages
John Wiley & Sons, 2017. Vol. 45, no 2, 292-304 p.
Keyword [en]
physical unclonable functions (PUFs), multiple-valued logic (MVL), CMOS integrated circuits, chip identification, hardware security, energy efficiency
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-205104DOI: 10.1002/cta.2287ISI: 000394580600011Scopus ID: 2-s2.0-85006293340OAI: oai:DiVA.org:kth-205104DiVA: diva2:1114913
Funder
Swedish Foundation for Strategic Research , SM14-0016
Note

QC 20170626

Available from: 2017-06-26 Created: 2017-06-26 Last updated: 2017-11-13Bibliographically approved

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Tao, ShaDubrova, Elena

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