A blockchain-based secure transaction model for distributed energy in Industrial Internet of Things

Hu, Wei and Li, Huanhao (2020) A blockchain-based secure transaction model for distributed energy in Industrial Internet of Things. A blockchain-based secure transaction model for distributed energy in Industrial Internet of Things, 61 (12). pp. 491-500. ISSN 1110-0168

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Abstract

In the Industrial Internet of Things (IIoT), peer-to-peer (P2P) distributed energy (DE) transactions exist in various scenarios. This paper attempts to improve the intelligence, real timeliness, and security of the direct transaction between DE generation companies (DEGCs) and users, and reduce the default frequency of distributed power (DP) transactions. For these purposes, a P2P DE transaction model for the IIoT was proposed based on blockchain. Firstly, a blockchain-based distributed energy peer-to-peer transaction framework is constructed, which is more suitable for generalized energy transactions based on typical transaction scenarios of the IIoT. Using credit value evaluation and smart contracts to ensure the transparency, openness, and non�tampering of credit scores. On this basis, the energy currency reward mechanism is used to promote the trustworthiness of transaction nodes and maintain transaction security. Finally, the P2P direct transaction based on credit value was designed to improve the transaction efficiency and security. Through case analysis, the DE transaction model for the IIoT, which is based on the credit value of the blockchain, supports fast and frequent energy transactions, as it overcomes the confirmation delays of energy blockchain transactions. The proposed model improves the efficiency of DE transactions in the IIoT, effectively suppresses default frequency, and maintains the order of DE market in the IIoT.

Item Type: Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Depositing User: Admin Repository UIBS
Date Deposited: 21 Jul 2022 07:08
Last Modified: 21 Jul 2022 07:08
URI: https://repository.uniba.ac.id/id/eprint/387

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