Machine Learning for Embedded System Security
2022 ed.
Book Details
Format
Hardback or Cased Book
ISBN-10
3030941779
ISBN-13
9783030941772
Edition
2022 ed.
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 23rd, 2022
Print length
160 Pages
Product Classification:
Circuits & componentsEmbedded systemsComputer architecture & logic design
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This book comprehensively covers the state-of-the-art security applications of machine learning techniques. 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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