Artificial Intelligence Solutions for Cyber-Physical Systems

Pushan Kumar Dutta, Pethuru Raj, B. Sundaravadivazhagan, CHITHIRAI PON Selvan

• Publisher: Auerbach Publications
• Year: 2024
• eBook ISBN: 9781040125182
• Edition: 0
• Topic: Computer Science
• Subtopic: Cyber Security
• Index: Computer Science

Smart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce new security challenges that must be addressed to ensure the safety of human workers and the integrity of manufacturing processes. Key topics include risk assessment methodologies, secure communication protocols, and the development of standard specifications to guide the design and implementation of HCPS. Recent research highlights the importance of adopting a multi-layered approach to security, encompassing physical, network, and application layers. Furthermore, the integration of AI and machine learning techniques enables real-time monitoring and analysis of system vulnerabilities, as well as the development of adaptive security measures.

Artificial Intelligence Solutions for Cyber-Physical Systems discusses such best practices and frameworks as NIST Cybersecurity Framework, ISO/IEC 27001, and IEC 62443 of advanced technologies. It presents strategies and methods to mitigate risks and enhance security, including cybersecurity frameworks, secure communication protocols, and access control measures. The book also focuses on the design, implementation, and management of secure HCPS in smart manufacturing environments. It covers a wide range of topics, including risk assessment, security architecture, data privacy, and standard specifications, for HCPS. The book highlights the importance of securing communication protocols, the role of artificial intelligence and machine learning in threat detection and mitigation, and the need for robust cybersecurity frameworks in the context of smart manufacturing.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Contents
• Contributors
• Chapter 1 Enhancing the Power of Cyber-Physical Systems Enabled with AI: An Introduction—Facts and Myths along with Modular Approach
• Chapter 2 AI for Secure and Resilient Cyber-Physical Systems
• Chapter 3 Power of Emotions in AI: Strengthening the Bond of Human-Machine with Heart
• Chapter 4 Advancing Manufacturing Excellence: ML and AI-Driven Threat Detection Strategies
• Chapter 5 Enhancing Resilience in the Integration of Cybersecurity for Smart Manufacturing
• Chapter 6 Leveraging Artificial Intelligence and Machine Learning for Advanced Threat Detection in Smart Manufacturing
• Chapter 7 Integrating Cybersecurity Threats into Smart Manufacturing: Best Practices and Frameworks
• Chapter 8 Proactive Risk Management in Smart Manufacturing: A Comprehensive Approach to Risk Assessment and Mitigation
• Chapter 9 Entrepreneurial Strategies for Mitigating Risks in Smart Manufacturing Environments
• Chapter 10 Fortifying Smart Manufacturing against Cyber Threats: A Comprehensive Guide to Cybersecurity Integration, Best Practices, and Frameworks
• Chapter 11 Tagging Blockchain Technology Fostering Panacea for Data Privacy, Cloud Computing, and Integrity: Legal Framework in India and at a Globe
• Chapter 12 Enhancing Human-Centered Security in Industry 4.0: Navigating Challenges and Seizing Opportunities
• Chapter 13 Using AI for Student Success: Early Warning, Performance Analytics, and Automated Grading in Education Cyber-Physical Systems
• Chapter 14 Securing Industrial Internet of Things (IIoT): A Review of Technologies, Strategies, Challenges, and Future Trends
• Chapter 15 Strategic Management of Intelligent Robotics and Drones in Contemporary Industrial Operations: An Assessment of Roles and Integration Strategies
• Chapter 16 Digital Twins as New Paradigm for Bridging the Gap from Personalized Medicine to Specific Rural Public Health: Exploring Foundations, Legal Angels, and Technologies for Health 5.0—Future Research Directions
• Chapter 17 Privacy-Preserving Strategies for Enhanced Big Data Analytics in Evolving Healthcare Environments: A 5G and Beyond Perspective
• Chapter 18 Securing the Digital Realm: Unleashing Hybrid Optimization for Deep Neural Network Intrusion Detection
• Chapter 19 AI for Industrial IoT: A Review of Emerging Trends and Advanced Research
• Chapter 20 The Role of Human-Centric Solutions in Tackling Challenges and Unlocking Opportunities in Industry 4.0
• Chapter 21 Strategies for Managing Risk and Mitigation in the Era of Smart Manufacturing
• Chapter 22 Cultivating a Security-Conscious Smart Manufacturing Workforce: A Comprehensive Approach to Workforce Training and Awareness
• Chapter 23 Data Analytics for Pandemic: A Covid-19 Case Study in Kolkata
• Chapter 24 Deep Learning Techniques for DDoS Assault
• Chapter 25 Study on Blockchain-Based Framework for Central Bank Digital Currency Design: Opportunities, Risk, and Challenges
• Chapter 26 NLP-Based Chatbot for Handling Mental Health-Related Issues
• Index