On the Learnability of Physically Unclonable Functions

• Main Author: Ganji, Fatemeh (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: T-Labs Series in Telecommunication Services,
• Subjects: Computational intelligence.; Coding theory.; Information theory.; Computer science-Mathematics.; Computer mathematics.; Electronic circuits.; Computational Intelligence.; Coding and Information Theory.; Mathematical Applications in Computer Science.; Circuits and Systems.

This book addresses the issue of Machine Learning (ML) attacks on Integrated Circuits through Physical Unclonable Functions (PUFs). It provides the mathematical proofs of the vulnerability of various PUF families, including Arbiter, XOR Arbiter, ring-oscillator, and bistable ring PUFs, to ML attacks...

Table of Contents:

• Introduction
• Definitions and Preliminaries
• PAC Learning of Arbiter PUFs
• PAC Learning of XOR Arbiter PUFs
• PAC Learning of Ring Oscillator PUFs
• PAC Learning of Bistable Ring PUFs
• Follow-up
• Conclusion.