Machine Learning for Cyber Physical System: Advances and Challenges: 60 (Intelligent Systems Reference Library, 60)
by: Janmenjoy Nayak (Editor),Bighnaraj Naik(Editor),Vimal S(Editor),Margarita Favorskaya(Editor)&1more
Publisher: Springer
Edition: 2024th
Publication Date: 12 April 2024
Language: English
Print Length: 422 pages
ISBN-10: 3031540379
ISBN-13: 9783031540370
Book 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.
未经允许不得转载：Wow! eBook » Machine Learning for Cyber Physical System: Advances and Challenges: 60 (Intelligent Systems Reference Library, 60)