INTELLIGENT SECURING INDUSTRIAL IOT DATA BASED ON CONSENSUS MECHANISM

Abstract

The performance optimization framework for blockchain-enabled Industrial Internet of Things (IIoT) systems is to improve the performance of data security and efficiency. Procumers are intended for implementing a widely specific, scalable and secure IIoT system to be adopted across various industries. The existing IIoT systems may stay vulnerable to single point of failure and malicious attacks which may lead to unstable services. Due to the immutability and security promise of blockchain the idea of combining blockchain and IoT gains considerable interest. However, blockchains are power-intensive and low- throughput which are not suitable forpower-constrained IoT. The Deep Reinforcement Learning (DRL) is used to get the maximum amount of collected data and the blockchain technology is used to ensure security and reliability of data sharing. Transparency and tamper-proof nature to support fair goods exchange between merchants and suppliers is effectively achieved using Proof-of- Work(PoW). In addition to it the decentralization and pseudonymity advantage will play a significant role in preserving the privacy of participants in the blockchain.