Buch, Englisch, 548 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: River Publishers Series in Computing and Information Science and Technology
IOT and Blockchain for Sustainable Next-generation Integrated Systems
Buch, Englisch, 548 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: River Publishers Series in Computing and Information Science and Technology
ISBN: 978-87-438-0931-9
Verlag: River Publishers
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.
Zielgruppe
Academic, Postgraduate, and Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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




