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Machine Learning for Cyber Physical System: Advances and Challenges

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Description

This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity. 
Release date NZ
April 17th, 2024
Contributors
  • Edited by Bighnaraj Naik
  • Edited by Janmenjoy Nayak
  • Edited by Margarita Favorskaya
  • Edited by Vimal S
Pages
406
Edition
1st ed. 2024
Audience
  • Professional & Vocational
Illustrations
109 Illustrations, color; 39 Illustrations, black and white; XVIII, 412 p. 123 illus., 105 illus. in color.
ISBN-13
9783031540370
Product ID
38566251

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