Decentralized Implementation Of Security and Privacy Of Industrial IoT Devices Using Ethereum Blockchain and Smart Contract

Abstract: Industry4.0, which is being applied in a variety of sectors, relies heavily on the Industrial Internet of Things (IIoT). Current IIoT systems, on the other hand, are susceptible to single point of failure and offensive attacks. The concept of merging blockchain and IoT is gaining popularity due to the privacy and security assurance provided by blockchain. We propose a blockchain-enabled effective data collection and safe sharing scheme that combines Deep Reinforcement Learning and Ethereum blockchain to create a secure and stable setting .DRL is used in this scheme to gather the most data possible, and blockchain technology is used to ensure data sharing protection and privacy. The proposed system takes advantage of blockchain technology in smart grid in terms of its transparency and tamper-proof nature. In addition, the responsibility of decentralization and pseudonymization will play an important role in protecting the privacy of blockchain participants.

Keywords: Industrial Internet of Things (IIoT), Proof of Work (PoW), Deep Reinforcement Learning (DRL).