On the Learnability of Physically Unclonable Functions

• Κύριος συγγραφέας: Ganji, Fatemeh (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: T-Labs Series in Telecommunication Services,
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.