Artificial Intelligence and Cyber Security in Industry 4.0 (1st ed. 2023)

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. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications. ​

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Advanced Technologies and Societal Change
Release date:	July 2023
First published:	2023
Editors:	Velliangiri Sarveshwaran • Joy Iong-Zong Chen • Danilo Pelusi
Dimensions:	235 x 155mm (L x W)
Pages:	373
Edition:	1st ed. 2023
ISBN-13:	978-981-9921-14-0
Categories:	Books
LSN:	981-9921-14-7
Barcode:	9789819921140

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