Quality of Service Guarantees for Physical Unclonable Functions
Onur G\"unl\"u, Rafael F. Schaefer, and H. Vincent Poor

TL;DR
This paper develops methods to ensure reliable, secure, and private key agreement using noisy physical unclonable functions (PUFs), introducing a quality of service parameter to guarantee reliability for a subset of outputs.
Contribution
It proposes a new approach with a quality of service parameter to guarantee reliability for a subset of PUF outputs, improving upon existing methods.
Findings
Reliability guarantees can be provided for a subset of PUF outputs using truncated Gaussian models.
Guaranteeing reliability for all outputs without elimination is impossible without secrecy leakage.
Transform coding combined with scalar quantizers effectively extracts uncorrelated bits from correlated PUF outputs.
Abstract
We consider a secret key agreement problem in which noisy physical unclonable function (PUF) outputs facilitate reliable, secure, and private key agreement with the help of public, noiseless, and authenticated storage. PUF outputs are highly correlated, so transform coding methods have been combined with scalar quantizers to extract uncorrelated bit sequences with reliability guarantees. For PUF circuits with continuous-valued outputs, the models for transformed outputs are made more realistic by replacing the fitted distributions with corresponding truncated ones. The state-of-the-art PUF methods that provide reliability guarantees to each extracted bit are shown to be inadequate to guarantee the same reliability level for all PUF outputs. Thus, a quality of service parameter is introduced to control the percentage of PUF outputs for which a target reliability level can be guaranteed.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPhysical Unclonable Functions (PUFs) and Hardware Security · Integrated Circuits and Semiconductor Failure Analysis · Advanced Memory and Neural Computing
Methodstravel james
