Artificial Intelligence and Cyber Security in Industry 4.0 [E-Book] / edited by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi.
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 l...
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Full text |
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Personal Name(s): | Chen, Joy Iong-Zong, editor |
Pelusi, Danilo, editor / Sarveshwaran, Velliangiri, editor | |
Edition: |
1st edition 2023. |
Imprint: |
Singapore :
Springer,
2023
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Physical Description: |
VIII, 373 pages 100 illustrations, 86 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9789819921157 |
DOI: |
10.1007/978-981-99-2115-7 |
Series Title: |
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Advanced Technologies and Societal Change
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Subject (LOC): |
- Introduction to Artificial Intelligence and Cyber Security for Industry
- Role of AI and its impact on the development of cyber security applications
- AI and IoT in Manufacturing and related Security Perspectives for Industry 4.0
- IoT Security Vulnerabilities and Defensive Measures in Industry 4.0
- Adopting Artificial Intelligence in ITIL for Information Security Management - Way forward in Industry 4.0
- Intelligent Autonomous Drones in Industry 4.0
- A review on automatic generation of attack trees and its application to automotive cybersecurity
- Malware Analysis using Machine Learning Tools and Techniques in IT Industry
- USE OF MACHINE LEARNING IN FORENSICS AND COMPUTER SECURITY
- Control of feed drives in CNC machine tools using artificial immune adaptive strategy
- Efficient Anomaly Detection for Empowering Cyber Security by Using Adaptive Deep Learning Model
- Intrusion Detection in IoT based Healthcare Using ML and DL approaches: A Case Study
- War Strategy Algorithm based GAN model for Detecting the Malware Attacks in Modern Digital Age
- ML algorithms for providing financial security in banking sectors with the prediction of loan risks
- Machine Learning based DDoS Attack Detection using Support Vector Machine
- Artificial Intelligence based Cyber Security Applications.