On the Physical Security of Physically Unclonable Functions, Tajik

Автор: Roel Maes
Название: Physically Unclonable Functions
ISBN: 3662514524 ISBN-13(EAN): 9783662514528
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book examines physically unclonable functions 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 information security applications.

Автор: Halak, Basel
Название: Physically unclonable functions
ISBN: 3319768034 ISBN-13(EAN): 9783319768038
Издательство: Springer
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Цена: 8384.00 р.
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Описание:

A Primer on Cryptographic Primitives and Security Attacks.- Physically Unclonable Functions: Design Principles and Evaluation Metrics.- Reliability Challenges of Silicon-Based Physically Unclonable Functions.- Reliability Enhancement Techniques for Physically Unclonable Functions.- Security Attacks on Physically Unclonable Functions and Possible Countermeasures.- Hardware-based Security Applications of Physically Unclonable Functions.- Appendix 1.- Appendix 2.- Appendix 3.

Автор: Christoph B?hm; Maximilian Hofer
Название: Physical Unclonable Functions in Theory and Practice
ISBN: 1493944983 ISBN-13(EAN): 9781493944989
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book features an in-depth overview of different topics concerning physical unclonable functions (PUFs), providing extensive theoretical background and application details. It covers different applications using cases and practical realization.

Автор: Ganji
Название: On the Learnability of Physically Unclonable Functions
ISBN: 331976716X ISBN-13(EAN): 9783319767161
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

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. To achieve this goal, it develops a generic framework for the assessment of these PUFs based on two main approaches. First, with regard to the inherent physical characteristics, it establishes fit-for-purpose mathematical representations of the PUFs mentioned above, which adequately reflect the physical behavior of these primitives. To this end, notions and formalizations that are already familiar to the ML theory world are reintroduced in order to give a better understanding of why, how, and to what extent ML attacks against PUFs can be feasible in practice. Second, the book explores polynomial time ML algorithms, which can learn the PUFs under the appropriate representation. More importantly, in contrast to previous ML approaches, the framework presented here ensures not only the accuracy of the model mimicking the behavior of the PUF, but also the delivery of such a model.

Besides off-the-shelf ML algorithms, the book applies a set of algorithms hailing from the field of property testing, which can help to evaluate the security of PUFs. They serve as a "toolbox", from which PUF designers and manufacturers can choose the indicators most relevant for their requirements. Last but not least, on the basis of learning theory concepts, the book explicitly states that the PUF families cannot be considered as an ultimate solution to the problem of insecure ICs. As such, it provides essential insights into both academic research on and the design and manufacturing of PUFs.

Автор: Roel Maes
Название: Physically Unclonable Functions
ISBN: 3642413943 ISBN-13(EAN): 9783642413940
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book examines physically unclonable functions 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 information security applications.