Artificial Intelligence and Cyber Security in Industry 4.0

This book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. It emphasizes the importance of checking the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and how to incorporate them into the real world by addressing the gaps appropriately.

Format: Hardback
Length: 373 pages
Publication date: 01 July 2023
Publisher: Springer Verlag, Singapore

This comprehensive book offers a thorough theoretical foundation and cutting-edge research findings in the domains of artificial intelligence and cybersecurity for Industry 4.0. Its primary objective is to assist in the implementation of AI-based cybersecurity applications. However, it is important to note that machine learning-based security approaches are susceptible to poison datasets, which can arise from legitimate defenders misclassifying data or attackers intentionally contaminating the training data set to evade detection. Furthermore, there exist significant gaps between the test environment and the real-world scenarios. Consequently, it is crucial to evaluate the potential and limitations of AI-based security technologies in terms of various metrics, including security, performance, cost, time, and their integration into the real world. This book specifically emphasizes state-of-the-art discoveries from both academia and industry in the fields of big data security, relevant sciences, technologies, and applications. By delving into these topics, the book aims to provide valuable insights and guidance for professionals and researchers seeking to enhance the security and resilience of AI-driven systems in the context of Industry 4.0.

Weight: 740g
Dimension: 235 x 155 (mm)
ISBN-13: 9789819921140
Edition number: 1st ed. 2023