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Machine Learning for Embedded System Security

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers Springer, April 2022
This book comprehensively covers the state-of-the-art security applications of machine learning tech... Full description
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42 360 Ft
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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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About the book

Full name Machine Learning for Embedded System Security
Author Basel Halak
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2022
EAN 9783030941789
Libristo code 41017383
Publishers Springer
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