Key Agreement with Physical Unclonable Functions and Biometric Identifiers

Onur Gunlu

Paper 2021/250

Key Agreement with Physical Unclonable Functions and Biometric Identifiers

Onur Gunlu

, Linköping University

Abstract

This thesis addresses security and privacy problems for digital devices and biometrics, where a secret key is generated for authentication, identification, or secure computations. A physical unclonable function (PUF) is a promising solution for local security in digital devices. A low-complexity transform-coding algorithm is developed to make the information-theoretic analysis tractable and motivate a noisy (hidden) PUF source model. The optimal trade-offs between the secret-key, privacy-leakage, and storage rates for multiple measurements of hidden PUFs are characterized. The first optimal and low-complexity code constructions are proposed. Polar codes are designed to achieve the best known rate tuples. The gains from cost-constrained controllable PUF measurements are illustrated to motivate extensions.

Note: Parts of a Ph.D. thesis, Department of Electrical and Computer Engineering, Technical University of Munich (TUM), Germany

Metadata

Available format(s): PDF
Category: Foundations
Publication info: Preprint.
Keywords: physical unclonable functions information theoretic security coding for secrecy secret key agreement nested codes IoT network security
Contact author(s): guenlue @ tu-berlin de
History: 2024-03-10: revised; 2021-03-02: received; See all versions
Short URL: https://ia.cr/2021/250
License: CC BY

BibTeX

@misc{cryptoeprint:2021/250,
      author = {Onur Gunlu},
      title = {Key Agreement with Physical Unclonable Functions and Biometric Identifiers},
      howpublished = {Cryptology ePrint Archive, Paper 2021/250},
      year = {2021},
      note = {\url{https://eprint.iacr.org/2021/250}},
      url = {https://eprint.iacr.org/2021/250}
}