Low-Complexity and Reliable Transforms for Physical Unclonable Functions

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Onur Gunlu - , Technical University of Berlin (Author)
  • Rafael F. Schaefer - , Technical University of Berlin (Author)

Abstract

Noisy measurements of a physical unclonable function (PUF) are used to store secret keys with reliability, security, privacy, and complexity constraints. A new set of low-complexity and orthogonal transforms with no multiplication is proposed to obtain bit-error probability results significantly better than all methods previously proposed for key binding with PUFs. The uniqueness and security performance of a transform selected from the proposed set is shown to be close to optimal. An error-correction code with a low-complexity decoder and a high code rate is shown to provide a block-error probability significantly smaller than provided by previously proposed codes with the same or smaller code rates.

Details

Original languageEnglish
Title of host publication2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2807-2811
Number of pages5
ISBN (electronic)978-1-5090-6631-5
Publication statusPublished - May 2020
Peer-reviewedYes
Externally publishedYes

Publication series

SeriesInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Volume2020-May
ISSN1520-6149

Conference

Title2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020
Duration4 - 8 May 2020
CityBarcelona
CountrySpain

External IDs

ORCID /0000-0002-1702-9075/work/165878309

Keywords

Keywords

  • low complexity, no multiplication transforms, physical unclonable function (PUF), secret key agreement