Książka Machine Learning for Embedded System Security Basel Halak

Machine Learning for Embedded System Security

Autor: Basel Halak
Język: Angielski
Oprawa: Miękka
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
423.57
This book comprehensively covers the state-of-the-art security applications of machine learning tech...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2023
strony
160
EAN
9783030941802
Enbook ID
43155949
Waga
258
Wymiary
155 x 235

Pełny opis

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. 

Możesz być zainteresowany

Logarithmic tables

George William Jones
103.99
74.97

The Ku-Klux Klan

C S P Rev James M Gillis
57.25
1 137.22

Promises

Aleatha Romig
64.94
79.16
111.29

Church Heroes (1884)

Thomas Griffith
79.54
412.17

Embedded System Design

Lawrence Henschen
397.37

Shamanism Made Easy

Christa Mackinnon
45.56
48.78

Klienci, którzy kupili tę książkę, kupili również

107.39
95.71

Analysis Fur Informatiker

Michael Oberguggenberger
162.12

Buch der Lieder

Heinrich Heine
73.41
45.85
194.06
99.21