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Artificial intelligence and cyber security in Industry 4.0 / Velliangiri Sarveshwaran, Joy Long-Zong Chen, Danilo Pelusi, editors.

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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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Bibliographic Details
Online Access: Full Text (via Springer)
Other Authors: Sarveshwaran, Velliangiri (Editor), Chen, Joy Long-Zong (Editor), Pelusi, Danilo (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer, [2023]
Series:Advanced technologies and societal change.
Subjects:
Artificial intelligence > Industrial applications.
Computer security.
Industry 4.0.
Table of Contents:
  • Intro
  • Preface
  • Contents
  • 1 Introduction to Artificial Intelligence and Cybersecurity for Industry
  • Introduction
  • Classification of Cyberattacks (See Fig. 1.1)
  • Types of Cybersecurity
  • Tools Used in Cybersecurity
  • Firewall
  • Honeypots
  • How Does Artificial Intelligence Work? (See Fig. 1.3)
  • AI Implementation Methods
  • Machine Learning
  • Deep Learning
  • Background Information on AI Methods and Cybersecurity Applications
  • The Significance of Cybersecurity
  • How AI Can Be Applied on Cybersecurity Issues
  • AI Techniques Used for Cybersecurity
  • Security Expert Systems
  • Deep Learning Detection for Misinformation
  • Benefits of AI in Cybersecurity
  • Detecting False Information Using Neural Networks
  • Using Neural Networks to Find Objectionable YouTube Content
  • Challenges Faced with Integration of AI in Cybersecurity
  • Classification Error
  • Intensive Requirement for Resources
  • Public Perception
  • Discussion
  • Conclusion
  • References
  • 2 Role of AI and Its Impact on the Development of Cyber Security Applications
  • Introduction
  • Overview of Artificial Intelligence
  • Literature Survey
  • Artificial Intelligence Techniques for Cyber Security
  • Various Artificial Intelligence Tools and Techniques Are Mentioned Below
  • Machine Learning Algorithm Used to Train a Machine
  • Why AI is Preferred Over Current Anomaly Detection and Prevention Systems?
  • Use Cases of Artificial Intelligence in Cyber Security
  • Applications of AI in Cyber Security
  • AI Solutions for Cyber Security [26]
  • Limitations of AI in Security
  • Ethical Issues Related to AI [27]
  • AI-Based Threat to Cyber Security [27]
  • Conclusion
  • References
  • 3 AI and IoT in Manufacturing and Related Security Perspectives for Industry 4.0
  • Introduction
  • Role of AI in Manufacturing
  • Related Works
  • Technologies
  • Impact of AI in Manufacturing
  • Uses Cases of AI in Manufacturing
  • IoT in Manufacturing
  • Related Works
  • Technologies
  • Need of IIoT Security
  • Applications
  • Vulnerabilities and Challenges
  • Quality Control
  • Threat Recognition
  • Configuration of the Hardware
  • Encryption of Data
  • Confidentiality of Data
  • Integration of Cyber-Physical Systems
  • Devices Pairing Key Establishment
  • Device Management
  • Conclusion and Future Work
  • References
  • 4 IoT Security Vulnerabilities and Defensive Measures in Industry 4.0
  • Introduction
  • IoT/IIoT Security Challenges and Requirements
  • IoT/IIoT Security Challenges
  • Requirements for IoT/IIoT Security
  • IoT Architecture and Security Attacks
  • Architecture of IoT
  • IoT Security Attacks in Architectural Perspective
  • Preventive Techniques and Mechanisms of IoT/IIoT Security
  • Preventive Techniques of IoT Security Attacks
  • Mechanisms for Combating IoT/IIoT Security Attacks
  • Conclusion
  • References
  • 5 Adopting Artificial Intelligence in ITIL for Information Security Management-Way Forward in Industry 4.0
  • Introduction
  • Definition of AI

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