Artificial Intelligence Solutions for Cyber-Physical Systems

✍ Scribed by Pushan Kumar Dutta; Pethuru Raj; B Sundaravadivazhagan; Chithirai Pon Selvan

• Publisher: Auerbach Publications
• Year: 2024
• Tongue: English
• Leaves: 465
• Edition: 1
• Category: Library

✦ Synopsis

This book focuses on the design, implementation, and management of secure Human Cyber-Physical Systems (HCPS s) in smart manufacturing environments. It covers a wide range of topics, including risk assessment, security architecture, data privacy, and standard specifications for HCPSs.

✦ Table of Contents

Cover
Half Title
Title Page
Copyright Page
Table of 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