Kniha Machine Learning for Embedded System Security Basel Halak

Machine Learning for Embedded System Security

Autor: Basel Halak
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer, Berlin
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
2 286
This book comprehensively covers the state-of-the-art security applications of machine learning tech...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2023
Stránek
160
EAN
9783030941802
Enbook ID
43155949
Vydavatel
Hmotnost
258
Rozměry
155 x 235

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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