Kniha Machine Learning for Embedded System Security Basel Halak

Machine Learning for Embedded System Security

Autor: Basel Halak
Jazyk: Angličtina
Väzba: Pevná
Dostupnosť: Skladom u dodávateľa
Odosielame za 10-13 dní
99.90
This book comprehensively covers the state-of-the-art security applications of machine learning tech...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2022
Stránok
160
EAN
9783030941772
Enbook ID
38504705
Hmotnosť
436
Rozmery
155 x 235 x 15

Kompletný 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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