Description
| Product ID: | 9789819921140 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Series: | Advanced Technologies and Societal Change |
| Title: | Artificial Intelligence and Cyber Security in Industry 4.0 |
| Authors: | Author: Danilo Pelusi, Velliangiri Sarveshwaran, Joy Iong-Zong Chen |
| Page Count: | 373 |
| Subjects: | Databases, Databases, Computer security, Artificial intelligence, Computer security, Artificial intelligence |
| Description: | 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 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. |
| Imprint Name: | Springer Verlag, Singapore |
| Publisher Name: | Springer Verlag, Singapore |
| Country of Publication: | GB |
| Publishing Date: | 2023-06-14 |