Intelligent Securing of the Industrial IoT data based on Consensus Mechanism

  • Mr Arun Kumar S, Rahul Pallath, Mohit A, Bharath KK

Abstract

Industrial Internet of Things (IIoT) assumes an irreplaceable job for Industry, individuals are focused on executing a general, versatile and secure IIoT framework to be received across different businesses. However, existing IIoT frameworks are helpless against failure at a point and malicious assaults, which can't give stable administrations. Since block chain has high flexibility and security guarantee, consolidating blockchain and IoT increases impressive interest. Blockchains are power-raised and lower-throughput, which are not sensible for power-obliged IoT devices. We hereby Introduce a blockchain-enabled efficacy data collection and secured sharing scheme with combination of Ethereum blockchain and Byzantine Fault Tolerance (BFT) theorem to create a sustainable and safe environment. In this scheme, BFT provides ensures encrypted information sharing and reliability. Furthermore, the pseudonymity property might play a critical part in saving theprivacy of the users in the blockchain. The proposed framework takes advantage of blockchain innovation and also the transparency and non-tamperable designed nature to help reasonable merchandise trade among merchants and providers.

Keywords: Blockchain, industrial internet of things (IIoT), performance optimization, Byzantine Fault Tolerance    Theorem.

Published
2020-04-25
How to Cite
Mr Arun Kumar S, Rahul Pallath, Mohit A, Bharath KK. (2020). Intelligent Securing of the Industrial IoT data based on Consensus Mechanism. International Journal of Advanced Science and Technology, 29(05), 3040 - 3052. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/11607