Modeling Attack Security of Physical Unclonable Functions based on Arbiter PUFs

Nils Wisiol (Autor)

Buch | Softcover

XI, 118 Seiten

2024 | 2023
Springer International Publishing (Verlag)
978-3-031-29209-5 (ISBN)

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This book studies the security of Physical Unclonable Functions (PUFs) based on the Arbiter PUF design, with a focus on so-called modeling attacks. The author shows the insecurity of several designs and proposes a novel construction that is proven to be immune against attacks known in scientific literature. The book explores designs of variants and compositions of the Arbiter PUF, which was introduced as a CMOS-compatible, electrical PUF design, and has received a lot of research attention, albeit being insecure with respect to modeling attacks. After revisiting modeling attacks on the Arbiter PUF and XOR Arbiter PUF, the author demonstrates attacks against the Lightweight Secure XOR Arbiter PUF, Feed-Forward Arbiter PUF, and the Interpose PUF. He then introduces two novel PUF designs, the Beli PUF and the LP-PUF, and analyzes their security against modeling attacks. The book concludes by showing how the LP-PUF is resilient against currently known modeling attacks.

Nils Wisiol completed his Ph.D. in hardware security at Technische Universität Berlin, focusing on the modeling attack security of Physical Unclonable Functions. His work on Arbiter PUFs has been published at several hardware security venues, including CHES and HOST. He received his Master's degree 2014 from the State University of New York at Buffalo.

Introduction.- Physical Unclonable Functions.- XOR Arbiter PUFs.- XOR Arbiter PUFs with Input Transformation.- Interpose PUF.- Feed-Forward Arbiter PUF.- Beli PUF.- LP-PUF.- pypuf: Python Software Library for PUF Research.- Conclusion.

Erscheinungsdatum	07.05.2024
Reihe/Serie	T-Labs Series in Telecommunication Services
Zusatzinfo	XI, 118 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik
	Technik ► Bauwesen
	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Arbiter PUF • Machine Learning Attack • Modeling Attack • physically unclonable function • Physical Unclonable Function • Splitting Attack
ISBN-10	3-031-29209-X / 303129209X
ISBN-13	978-3-031-29209-5 / 9783031292095
Zustand	Neuware