ISBN13: | 9781032517513 |
ISBN10: | 1032517514 |
Binding: | Hardback |
No. of pages: | 234 pages |
Size: | 234x156 mm |
Language: | English |
Illustrations: | 69 Illustrations, black & white; 16 Tables, black & white |
700 |
Electrical engineering and telecommunications, precision engineering
Energy industry
Data management in computer systems
System organization
Computer architecture, logic design
Database management softwares
Artificial Intelligence
Privacy, data security
Safety and health aspects of computing
Environmental sciences
Internet services (online shopping, banking)
Further readings in the field of computing
Electrical engineering and telecommunications, precision engineering (charity campaign)
Energy industry (charity campaign)
Data management in computer systems (charity campaign)
System organization (charity campaign)
Computer architecture, logic design (charity campaign)
Database management softwares (charity campaign)
Artificial Intelligence (charity campaign)
Privacy, data security (charity campaign)
Safety and health aspects of computing (charity campaign)
Environmental sciences (charity campaign)
Internet services (online shopping, banking) (charity campaign)
Further readings in the field of computing (charity campaign)
Blockchain and Digital Twin Enabled IoT Networks
GBP 115.00
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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.
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.
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.