Machine Learning for Cyber Physical System

Advances and Challenges

Janmenjoy Nayak, Bighnaraj Naik, Vimal S , Margarita Favorskaya

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English

Springer International Publishing AG
12 April 2024

Cybernetics & systems theory; Electronics engineering; Computer security; Machine learning

Series: Intelligent Systems Reference Library

Summary
Details

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.

Edited by: Janmenjoy Nayak, Bighnaraj Naik, Vimal S, Margarita Favorskaya
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 1st ed. 2024
Volume: 60
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031540370
ISBN 10: 3031540379
Series: Intelligent Systems Reference Library
Pages: 406
Publication Date: 12 April 2024
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active