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Logic lockinga practical approach to secure hardware /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Logic lockingby Dominik Sisejkovic, Rainer Leupers.
Reminder of title:	a practical approach to secure hardware /
Author:	Sisejkovic, Dominik.
other author:	Leupers, Rainer.
Published:	Cham :Springer International Publishing :2023.
Description:	xvii, 226 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer security.
Online resource:	https://doi.org/10.1007/978-3-031-19123-7
ISBN:	9783031191237$q(electronic bk.)

Logic lockinga practical approach to secure hardware /
Sisejkovic, Dominik.

Logic lockinga practical approach to secure hardware /[electronic resource] :by Dominik Sisejkovic, Rainer Leupers. - Cham :Springer International Publishing :2023. - xvii, 226 p. :ill. (some col.), digital ;24 cm.

Introduction to Hardware Security -- Design-for-Trust (DfTr) Solutions -- Evolution of Logic Locking -- Security Metrics for Logic Locking -- Logic-Locking Framework: Design and Implementation -- Processor Integrity Protection -- Logic Locking in the Era of Machine Learning -- Conclusion.

A subtle change that leads to disastrous consequences-hardware Trojans undoubtedly pose one of the greatest security threats to the modern age. How to protect hardware against these malicious modifications? One potential solution hides within logic locking; a prominent hardware obfuscation technique. In this book, we take a step-by-step approach to understanding logic locking, from its fundamental mechanics, over the implementation in software, down to an in-depth analysis of security properties in the age of machine learning. This book can be used as a reference for beginners and experts alike who wish to dive into the world of logic locking, thereby having a holistic view of the entire infrastructure required to design, evaluate, and deploy modern locking policies. Provides a comprehensive introduction to logic locking, suitable for beginners and experts; Offers a novel perspective on hardware Trojan classification and its interplay with logic locking; Presents details on the design and implementation of a silicon-ready logic-locking software framework; Introduces scaling techniques to design and apply logic locking to complex hardware components, such as processors; Presents novel ways of evaluating the security of logic locking with machine learning.

ISBN: 9783031191237$q(electronic bk.)

Standard No.: 10.1007/978-3-031-19123-7doiSubjects--Topical Terms:

184416
Computer security.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Logic lockinga practical approach to secure hardware /
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505 0 $a Introduction to Hardware Security -- Design-for-Trust (DfTr) Solutions -- Evolution of Logic Locking -- Security Metrics for Logic Locking -- Logic-Locking Framework: Design and Implementation -- Processor Integrity Protection -- Logic Locking in the Era of Machine Learning -- Conclusion.
520 $a A subtle change that leads to disastrous consequences-hardware Trojans undoubtedly pose one of the greatest security threats to the modern age. How to protect hardware against these malicious modifications? One potential solution hides within logic locking; a prominent hardware obfuscation technique. In this book, we take a step-by-step approach to understanding logic locking, from its fundamental mechanics, over the implementation in software, down to an in-depth analysis of security properties in the age of machine learning. This book can be used as a reference for beginners and experts alike who wish to dive into the world of logic locking, thereby having a holistic view of the entire infrastructure required to design, evaluate, and deploy modern locking policies. Provides a comprehensive introduction to logic locking, suitable for beginners and experts; Offers a novel perspective on hardware Trojan classification and its interplay with logic locking; Presents details on the design and implementation of a silicon-ready logic-locking software framework; Introduces scaling techniques to design and apply logic locking to complex hardware components, such as processors; Presents novel ways of evaluating the security of logic locking with machine learning.
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