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Machine Learning for Embedded System Security

Hardcover - 9783030941772
106,99 €
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Softcover - 9783030941802
106,99 €

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Weitere Formate

Softcover - 9783030941802
106,99 €

Beschreibung

This book comprehensively covers the state-of-the-art security applications of machine learning techniques.  The first part explains the emerging solutions for anti-tamper design, IC Counterfeits detection and hardware Trojan identification. It also explains the latest development of deep-learning-based modeling attacks on physically unclonable functions and outlines the design principles of more resilient PUF architectures. The second discusses the use of machine learning to mitigate the risks of security attacks on cyber-physical systems, with a particular focus on power plants. The third part provides an in-depth insight into the principles of malware analysis in embedded systems and describes how the usage of supervised learning techniques provides an effective approach to tackle software vulnerabilities. 

Details

Verlag Springer International Publishing
Ersterscheinung 23. April 2022
Maße 23.5 cm x 15.5 cm
Gewicht 436 Gramm
Format Hardcover
ISBN-13 9783030941772
Seiten 160

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