Blockchain-Enabled Decentralized Reliable Smart Industrial Internet of Things (BCIIoT)

Author:

Dhasarathan Chandramohan1ORCID,M. Shanmugam2,Khapre Shailesh Pancham3,Shukla Alok Kumar4,Shankar Achyut3

Affiliation:

1. Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science, India

2. Department of Computer Science and Engineering, Vignan's Foundation for Science, Technology, and Research, India

3. ASET-CSE, Amity University, Noida, India

4. School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India

Abstract

The development of wireless communication in the information technological era, collecting data, and transfering it from unmanned systems or devices could be monitored by any application while it is online. Direct and aliveness of countless wireless devices in a cluster of the medium could legitimate unwanted users to interrupt easily in an information flow. It would lead to data loss and security breach. Many traditional algorithms are effectively contributed to the support of cryptography-based encryption to ensure the user's data security. IoT devices with limited transmission power constraints have to communicate with the base station, and the data collected from the zones would need optimal transmission power. There is a need for a machine learning-based algorithm or optimization algorithm to maximize data transfer in a secure and safe transmission.

Publisher

IGI Global

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things;CAAI Transactions on Intelligence Technology;2023-05-04

2. Blockchain-Based Data Market (BCBDM) Framework for Security and Privacy;Research Anthology on Convergence of Blockchain, Internet of Things, and Security;2022-07-08

3. Blockchain-Based Data Market (BCBDM) Framework for Security and Privacy;Applications of Big Data in Large- and Small-Scale Systems;2021

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