Machine Learning for Embedded System Security

Machine Learning for Embedded System Security
Author: Basel Halak
Publisher Finelybook 出版社:Springer; 1st ed. 2022 edition (April 23, 2022)
Language 语言:English
pages 页数:175 pages
ISBN-10 书号:3030941779
ISBN-13 书号:9783030941772

Book Description
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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