Description
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.
Author: Velliangiri Sarveshwaran
Publisher: Springer
Published: 06/14/2023
Pages: 373
Binding Type: Hardcover
Weight: 1.57lbs
Size: 9.21h x 6.14w x 0.88d
ISBN13: 9789819921140
ISBN10: 9819921147
BISAC Categories:
- Computers | Artificial Intelligence | General
- Technology & Engineering | Electrical
- Computers | Database Administration & Management