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Kategorie szczegółowe BISAC

Physically Unclonable Functions: Constructions, Properties and Applications

ISBN-13: 9783642413940 / Angielski / Twarda / 2013 / 193 str.

Roel Maes
Physically Unclonable Functions: Constructions, Properties and Applications Maes, Roel 9783642413940 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Physically Unclonable Functions: Constructions, Properties and Applications

ISBN-13: 9783642413940 / Angielski / Twarda / 2013 / 193 str.

Roel Maes
cena 18,68 zł
(netto: 17,79 VAT:  5%)

Najniższa cena z 30 dni: 18,64 zł
Termin realizacji zamówienia:
ok. 10-14 dni roboczych.

Darmowa dostawa od 20 zł!

Physically unclonable functions (PUFs) are innovative physical security primitives that produce unclonable and inherent instance-specific measurements of physical objects; in many ways they are the inanimate equivalent of biometrics for human beings. Since they are able to securely generate and store secrets, they allow us to bootstrap the physical implementation of an information security system. In this book the author discusses PUFs in all their facets: the multitude of their physical constructions, the algorithmic and physical properties which describe them, and the techniques required to deploy them in security applications. The author first presents an extensive overview and classification of PUF constructions, with a focus on so-called intrinsic PUFs. He identifies subclasses, implementation properties, and design techniques used to amplify submicroscopic physical distinctions into observable digital response vectors. He lists the useful qualities attributed to PUFs and captures them in descriptive definitions, identifying the truly PUF-defining properties in the process, and he also presents the details of a formal framework for deploying PUFs and similar physical primitives in cryptographic reductions. The author then describes a silicon test platform carrying different intrinsic PUF structures which was used to objectively compare their reliability, uniqueness, and unpredictability based on experimental data. In the final chapters, the author explains techniques for PUF-based entity identification, entity authentication, and secure key generation. He proposes practical schemes that implement these techniques, and derives and calculates measures for assessing different PUF constructions in these applications based on the quality of their response statistics. Finally, he presents a fully functional prototype implementation of a PUF-based cryptographic key generator, demonstrating the full benefit of using PUFs and the efficiency of the processing techniques described. This is a suitable introduction and reference for security researchers and engineers, and graduate students in information security and cryptography.

Kategorie:
Technologie
Kategorie BISAC:
Computers > Information Theory
Technology & Engineering > Electrical
Technology & Engineering > Engineering (General)
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9783642413940
Rok wydania:
2013
Wydanie:
2013
Ilość stron:
193
Waga:
0.47 kg
Wymiary:
23.39 x 15.6 x 1.27
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

Chap. 1 - Introduction and Preview.- Chap. 2 - Physically Unclonable Functions: Concept and Constructions.- Chap. 3 - Physically Unclonable Functions: Properties.- Chap. 4 - Implementation and Experimental Analysis of Intrinsic PUFs.- Chap. 5 - PUF-Based Entity Identification and Authentication.- Chap. 6 - PUF-Based Key Generation.- Chap. 7 - Conclusion and Future Work.- App. A - Notation and Definitions from Probability Theory and Information Theory.- App. B - Non-intrinsic PUF(-like) Constructions.- References.

Dr. Roel Maes obtained an M.Eng. in Electrical Engineering (ICT: Multimedia & Signal Processing) from KU Leuven in 2007, and a Ph.D. from KU Leuven in 2012. He works for Intrinsic-ID in Eindhoven, The Netherlands.

Physically unclonable functions (PUFs) are innovative physical security primitives that produce unclonable and inherent instance-specific measurements of physical objects; in many ways they are the inanimate equivalent of biometrics for human beings. Since they are able to securely generate and store secrets, they allow us to bootstrap the physical implementation of an information security system. In this book the author discusses PUFs in all their facets: the multitude of their physical constructions, the algorithmic and physical properties which describe them, and the techniques required to deploy them in security applications.

The author first presents an extensive overview and classification of PUF constructions, with a focus on so-called intrinsic PUFs. He identifies subclasses, implementation properties, and design techniques used to amplify submicroscopic physical distinctions into observable digital response vectors. He lists the useful qualities attributed to PUFs and captures them in descriptive definitions, identifying the truly PUF-defining properties in the process, and he also presents the details of a formal framework for deploying PUFs and similar physical primitives in cryptographic reductions. The author then describes a silicon test platform carrying different intrinsic PUF structures which was used to objectively compare their reliability, uniqueness, and unpredictability based on experimental data.

In the final chapters, the author explains techniques for PUF-based entity identification, entity authentication, and secure key generation. He proposes practical schemes that implement these techniques, and derives and calculates measures for assessing different PUF constructions in these applications based on the quality of their response statistics. Finally, he presents a fully functional prototype implementation of a PUF-based cryptographic key generator, demonstrating the full benefit of using PUFs and the efficiency of the processing techniques described.

This is a suitable introduction and reference for security researchers and engineers, and graduate students in information security and cryptography.



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