Cryptology ePrint Archive: Report 2021/250

Key Agreement with Physical Unclonable Functions and Biometric Identifiers

Onur Gunlu

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.

Category / Keywords: foundations / physical unclonable functions, information theoretic security, coding for secrecy, secret key agreement, nested codes, IoT network security

Date: received 2 Mar 2021, last revised 2 Mar 2021

Contact author: guenlue at tu-berlin de

Available format(s): PDF | BibTeX Citation

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

Version: 20210302:205011 (All versions of this report)

Short URL:

[ Cryptology ePrint archive ]