Low-Complexity and Reliable Transforms for Physical Unclonable Functions

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Onur Gunlu - , Technische Universität Berlin (Autor:in)
  • Rafael F. Schaefer - , Technische Universität Berlin (Autor:in)

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

OriginalspracheEnglisch
Titel2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten2807-2811
Seitenumfang5
ISBN (elektronisch)978-1-5090-6631-5
PublikationsstatusVeröffentlicht - Mai 2020
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

ReiheInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Band2020-May
ISSN1520-6149

Konferenz

Titel2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020
Dauer4 - 8 Mai 2020
StadtBarcelona
LandSpanien

Externe IDs

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

Schlagworte

Schlagwörter

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