This book reviews research works in recent trends in blockchain, AI, and Digital Twin based IoT data analytics approaches for providing the privacy and security solutions for Fog-enabled IoT networks. Due to the large number of deployments of IoT devices, an IoT is the main source of data and a very high volume of sensing data is generated by IoT systems such as smart cities and smart grid applications. To provide a fast and efficient data analytics solution for Fog-enabled IoT systems is a fundamental research issue. For the deployment of the Fog-enabled-IoT system in different applications such as healthcare systems, smart cities and smart grid systems, security, and privacy of big IoT data and IoT networks are key issues. The current centralized IoT architecture is heavily restricted with various challenges such as single points of failure, data privacy, security, robustness, etc.
This book emphasizes and facilitates a greater understanding of various security and privacy approaches using the advances in Digital Twin and Blockchain for data analysis using machine/deep learning, federated learning, edge computing and the countermeasures to overcome these vulnerabilities.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic, Postgraduate, and Undergraduate Advanced
Illustrationen
69 s/w Abbildungen, 16 s/w Tabellen
16 Tables, black and white; 69 Illustrations, black and white
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 17 mm
Gewicht
ISBN-13
978-1-032-51751-3 (9781032517513)
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 Klassifikation
Randhir Kumar obtained a Ph.D. from the department of Information Technology from NIT Raipur, India. He completed his Postdoctoral at the Department of Electrical Engineering, IIT Hyderabad. He is currently an Assistant Professor, Department of Computer Science and Engineering, SRM University, AP, India. His research interests include cryptographic techniques, information security, blockchain technology, Digital Twin and services, and working Parallel Execution of smart contracts and interoperability challenges in blockchain-enabled frameworks and services.
Prabhat Kumar obtained a Ph.D. in Information Technology from the National Institute of Technology Raipur, Raipur, India. Thereafter, he worked with the Indian Institute of Technology Hyderabad, India, as a Project Officer on the project "Development of Indian Telecommunication Security Assurance Requirements for IoT Devices". He is a Post-doctoral Researcher with the Department of Software Engineering, LUT School of Engineering Science, LUT University, Lappeenranta, Finland. He has made many research contributions in machine learning, deep learning, federated learning, cybersecurity, blockchain, cloud computing, and Digital Twin.
Sobin C.C. has a vast expertise in studies of delay tolerant networks (DTNs), wireless networks, and IoT. Sobin's M. Tech and PhD research from premier institutes in India, such as IIT Madras and IIT Roorkee, enabled him to acquire in-depth knowledge in developing routing protocols for DTNs and designing IoT-based applications. Sobin is also well-versed in building IoT applications over DTN in cases of limited Internet connectivity. His research areas include DTN, software engineering, and smart agriculture. He is currently working as an Associate Professor in SRM University AP, India.
Herausgeber*in
SRM University, India
SRM University, India
1. BCECBN: Blockchain-enabled P2P Secure File Sharing System Over Cloudlet Networks 2. Integrating IoT and SDN: System Architecture and Research Challenges 3. Revolutionizing HR through the deployment of blockchain technology: A Bibliometric review 4. A study on Health Monitoring of the Structures through Digital Twin 5. Smart Agricultural Platform to Increase the Human Life Span Using Blockchain Technique 6. Reversible Data Hiding: Methods and Applications in Secure Medical Image Transmission 7. How Can We Enhance Data Security in Digital Twin-Enabled IoT Networks: A Proposal with ECAs Toward Prime Out-degree Finding of PageRank Regular Digraph in Blockchain 8. A Secure Sensor Based Soil Nutrient Management System for Better Decision Making in Smart Agriculture 9. Software-defined Networking for IoT 10. Dynamic Threshold-based DDoS Detection and Prevention for Network Function Virtualization (NFV) in Digital Twin Environment 11. Security and Privacy Considerations in Blockchain-based IoT Systems 12. Implementation of Blockchain for Secure Data Analysis in IOT Healthcare Systems.
