Paper 2020/387
Low-complexity and Reliable Transforms for Physical Unclonable Functions
Onur Gunlu and Rafael F. Schaefer
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.
Note: To appear in IEEE International Conference on Acoustics, Speech, and Signal Processing 2020
Metadata
- Available format(s)
- Category
- Foundations
- Publication info
- Preprint. MINOR revision.
- Keywords
- physical unclonable function (PUF)no multiplication transformssecret key agreementlow complexity.
- Contact author(s)
- guenlue @ tu-berlin de
- History
- 2020-04-09: received
- Short URL
- https://ia.cr/2020/387
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2020/387, author = {Onur Gunlu and Rafael F. Schaefer}, title = {Low-complexity and Reliable Transforms for Physical Unclonable Functions}, howpublished = {Cryptology {ePrint} Archive, Paper 2020/387}, year = {2020}, url = {https://eprint.iacr.org/2020/387} }