Green Cyber-physical Systems
IOT and Blockchain for Sustainable Next-generation Integrated Systems
1st Edition
Will be published approx. on 14. July 2026
Book
Hardback
498 pages
978-87-438-0931-9 (ISBN)
Description
In a world racing toward digital transformation, the need for sustainable, intelligent, and secure systems is greater than ever. This volume unites pioneering research and practical innovations in cyber-physical systems (CPS) powered by IoT, Blockchain, AI, and post-quantum cybersecurity to tackle pressing environmental, industrial, and societal challenges.
Contributions from global experts cover blockchain-enabled IoT architectures, energy-aware cybersecurity, explainable AI, and federated learning for edge devices, with applications in healthcare, aviation, finance, and smart agriculture. Each chapter blends real-world insights with forward-looking strategies for resilient, scalable, and green systems.
Highlights include:
Integration of Blockchain, IoT, and AI for secure, scalable, and sustainable CPS.
Green, energy-efficient technologies such as sustainable encryption and low-power threat detection.
Advanced AI techniques-explainable AI, federated learning, deep SHAP-for cybersecurity and personalization.
Applications spanning healthcare, agriculture, aviation, finance, and legal systems.
Post-quantum cryptography strategies for future-proof security.
Human-centered, interdisciplinary approaches emphasizing usability, observability, and ethics.
Ideal for researchers, practitioners, policymakers, and students, this collection offers a comprehensive roadmap to the sustainable convergence of the physical and digital worlds-building a smarter, safer, and more eco-conscious future.
Contributions from global experts cover blockchain-enabled IoT architectures, energy-aware cybersecurity, explainable AI, and federated learning for edge devices, with applications in healthcare, aviation, finance, and smart agriculture. Each chapter blends real-world insights with forward-looking strategies for resilient, scalable, and green systems.
Highlights include:
Integration of Blockchain, IoT, and AI for secure, scalable, and sustainable CPS.
Green, energy-efficient technologies such as sustainable encryption and low-power threat detection.
Advanced AI techniques-explainable AI, federated learning, deep SHAP-for cybersecurity and personalization.
Applications spanning healthcare, agriculture, aviation, finance, and legal systems.
Post-quantum cryptography strategies for future-proof security.
Human-centered, interdisciplinary approaches emphasizing usability, observability, and ethics.
Ideal for researchers, practitioners, policymakers, and students, this collection offers a comprehensive roadmap to the sustainable convergence of the physical and digital worlds-building a smarter, safer, and more eco-conscious future.
More details
Series
Language
English
Place of publication
Gistrup
Denmark
Target group
College/higher education
Professional and scholarly
Academic, Postgraduate, and Professional Practice & Development
Illustrations
59 s/w Tabellen, 90 farbige Abbildungen, 6 s/w Abbildungen
59 Tables, black and white; 90 Illustrations, color; 6 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-87-438-0931-9 (9788743809319)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Usha Desai
Green Cyber-physical Systems
IOT and Blockchain for Sustainable Next-generation Integrated Systems
E-Book
approx. 07/2026
River Publishers
€158.99
Available for download
Usha Desai
Green Cyber-physical Systems
IOT and Blockchain for Sustainable Next-generation Integrated Systems
E-Book
approx. 07/2026
River Publishers
€158.99
Available for download
Person
Dr. Usha Desai is presently working as a Professor and Dean (Research & Development) for S.E.A College of Engineering & Technology, Bengaluru, India. She received her Ph.D. in Biomedical Signal Processing from REVA University, Bengaluru, and M. Tech and B.Eng. from Visvesvaraya Technological University (VTU), Belagavi, Karnataka, India. She received a DST International Travel Grant to present her research paper at the 39th IEEE EMBS International Annual Conference held at Jeju Island, South Korea. She organized an International Conference on Innovative Research Development (ICIRD-2024) at Shinawatra University, Bangkok, Thailand and received Best Academician and organizing member awards. She has also served as an organizer and session chair at IEEE International Conferences and has presented technical research papers at numerous international indexed conferences and authored more than 60 research publications. She has authored five books on biomedical healthcare. She has eight patents. She is presently a Senior Member of IEEE and Life Member of ISTE.
Content
1. Comparative Analysis of Traditional vs. Blockchain-enhanced IoT Systems 2. Sustainable Encryption: Balancing Security and Energy Efficiency in the Post-quantum Era 3. Celestial Lessons for Green Innovations: Astronomy's Role in Sustainability 4. A Comprehensive Study on Human Factors in Cyber-sustainability 5. Energy-aware Threat Detection: Sustainable Approaches to Cybersecurity Monitoring and Incident Response 6. Explainable AI for Cybersecurity Solutions 7. Feature-enriched Network Intrusion Detection: A Comparative Study 8. Advancing IoT Security with Ml and Deep Learning based Intrusion Detection 9. A Comparative Study of Abstractive Legal Document Summarization using Large Language Models 10. Cybersecurity Challenges and Solutions in Aviation: A Focus on Cyber-Physical Systems 11. Cross-domain Data Correlations using Observability in Financial Systems: Enhancing Cybersecurity Posture through Integrated Analysis 12. A Review on Fundamental Principles of Quantum Cryptography 13. Towards Privacy-aware Hyper Personalization: Exploring Federated Learning for Edge Computing 14. Exploring the Impact: A Comprehensive Survey of IoT Applications in Healthcare 15. The Aloe Vera Plant Leaf Disease Detection System in Agriculture 4.0: Integrating AI and Blockchain Technology 16. 1D Self-organizing Feature Map Technique for Prediction of COVID-19 Infection 17. An Enhanced Privacy-preserving Approach: Intrusion Detection with Federated Learning and Deep Shap 18. Innovative Supporting Smart System: A Primitive Model to Address Nature Call Challenges for Bedridden Individuals 19. Skin Cancer Detection in Skin Lesion Images Using Weighted Ensemble-based VGG16 CNN 20. Precision Agriculture: Principles and Practices with Large Language Models for Sustainability