Blockchain and digital twin enabled IoT networks privacy and security perspectives / editors, Randhir Kumar, Department of Computer Science and Engineering, SRM University, Amaravati, AP, India, Prabhat Kumar, Department of Software Engineering, LUT School of Engineering, Lappeenranta, South Karelia, Finland, Sobin C.C., Department of Computer Science and Engineering, SRM University, Amaravati, AP, India.
| Other author | Kumar, Randhir, 1984- |
| Other author | Kumar, Prabhat (Software engineer) |
| Other author | C. C., Sobin. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press/Taylor & Francis Group, 2025. |
| Description | vi, 228 pages : illustrations ; 25 cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Partial contents | BCECBN : Blockchain-enabled P2P secure file sharing system over cloudlet networks / Pabba Sumanth, Sriramulu Bojjagani, Popuri Poojitha, Ponnam Bharani, Thokala Gopal Krishna and Neeraj Kumar Sharma -- Integrating IoT and SDN : system architecture and research challenges / Chandroth Jisi, Byeong hee-roh and Jehad Ali -- Revolutionising HR through the deployment of Blockchain technology : a bibliometric review / Rukma Ramachandran and Vimal Babu. |
| Abstract | "The 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 system is a fundamental research issue. For the deployment of the Fog-enabled-IoT system in different applications such as healthcare system, smart cities and smart grid system, security, and privacy of big IoT data and IoT network are key issues. The current centralized IoT architecture is heavily restricted with various challenges such as single point 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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2023058905 |
| ISBN | 9781032517513 (hbk) |
| ISBN | 9781032517537 (pbk) |
| ISBN | 9781003403791 (ebk) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |