Machine Learning for Embedded System Security

Name: Machine Learning for Embedded System Security
Brand: Springer Nature Switzerland AG
SKU: 9783030941772
Price: 2286 CZK
Availability: InStock

Autor: Basel Halak

Jazyk:

Vazba: Pevná

Vydavatel: Springer Nature Switzerland AG

Dostupnost: Skladem u dodavatele

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2 286 Kč

This book comprehensively covers the state-of-the-art security applications of machine learning tech...

Informace o knize

Autor

Basel Halak

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2022

Stránek

160

EAN

9783030941772

Enbook ID

38504705

Vydavatel

Springer Nature Switzerland AG

Hmotnost

436

Rozměry

155 x 235 x 15

Kompletní popis

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.

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Machine Learning for Embedded System Security

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