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Machine Learning for Embedded System Security
Engelsk Paperback
Machine Learning for Embedded System Security
Engelsk Paperback

907 kr
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Om denne bog

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. 

Product detaljer
Sprog:
Engelsk
Sider:
160
ISBN-13:
9783030941802
Indbinding:
Paperback
Udgave:
ISBN-10:
3030941809
Udg. Dato:
23 apr 2023
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
23 apr 2023
Forfatter(e):
Kategori sammenhænge