Low-Complexity and Reliable Transforms for Physical Unclonable Functions
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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 language | English |
---|---|
Title of host publication | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2807-2811 |
Number of pages | 5 |
ISBN (electronic) | 978-1-5090-6631-5 |
Publication status | Published - May 2020 |
Peer-reviewed | Yes |
Externally published | Yes |
Publication series
Series | International Conference on Acoustics, Speech, and Signal Processing (ICASSP) |
---|---|
Volume | 2020-May |
ISSN | 1520-6149 |
Conference
Title | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 |
---|---|
Duration | 4 - 8 May 2020 |
City | Barcelona |
Country | Spain |
External IDs
ORCID | /0000-0002-1702-9075/work/165878309 |
---|
Keywords
ASJC Scopus subject areas
Keywords
- low complexity, no multiplication transforms, physical unclonable function (PUF), secret key agreement