Artificial Intelligence and Cyber Security in Industry 4.0
Artificial Intelligence and Cyber Security in Industry 4.0 [electronic resource] /
edited by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi.
- 1st ed. 2023.
- Singapore Springer Nature Singapore 2023
- VIII, 373 p. 100 illus., 86 illus. in color. online resource.
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.
9789819921157
Artificial intelligence.
Artificial Intelligence.
Big data.
Big Data.
Computational intelligence.
Computational Intelligence.
Internet of things.
Internet of Things.
Machine learning.
Machine Learning.
Mobile communication systems.
Wireless and Mobile Communication.
Wireless communication systems.
6.3
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.
9789819921157
Artificial intelligence.
Artificial Intelligence.
Big data.
Big Data.
Computational intelligence.
Computational Intelligence.
Internet of things.
Internet of Things.
Machine learning.
Machine Learning.
Mobile communication systems.
Wireless and Mobile Communication.
Wireless communication systems.
6.3