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E-grāmata: Artificial Intelligence Solutions for Cyber-Physical Systems

Edited by (University of Technology and Applied Sciences-Al Mussana), Edited by , Edited by , Edited by (Amity University Kolkata)
  • Formāts: 464 pages
  • Izdošanas datums: 16-Sep-2024
  • Izdevniecība: Auerbach
  • Valoda: eng
  • ISBN-13: 9781040125168
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Artificial Intelligence Solutions for Cyber-Physical SystemsPalielināt
  • Formāts: 464 pages
  • Izdošanas datums: 16-Sep-2024
  • Izdevniecība: Auerbach
  • Valoda: eng
  • ISBN-13: 9781040125168
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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.



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.

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

Pushan Kumar Dutta is Assistant Professor Grade III in the Electronics and Communication Engineering Department of ASETK in Amity University, Kolkata, India.

Pethuru Raj is Chief Architect at Reliance Jio Platforms Ltd. (JPL) Bangalore, India.

B. Sundaravadivazhagan is an experienced researcher and educator in the field of information and communication engineering.

Chithirai Pon Selvan has extensive experience in teaching engineering students and has worked in academia for over 23 years.
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