Machine Learning for Embedded System Security - - Books - Springer Nature Switzerland AG - 9783030941772 - April 23, 2022
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Machine Learning for Embedded System Security 2022 edition

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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.

160 pages, 75 Tables, color; 39 Illustrations, color; 27 Illustrations, black and white; XV, 160 p.

Media Books     Hardcover Book   (Book with hard spine and cover)
Released April 23, 2022
ISBN13 9783030941772
Publishers Springer Nature Switzerland AG
Pages 160
Dimensions 165 × 242 × 17 mm   ·   426 g
Language German  
Editor Halak, Basel

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