Open Access

ARTICLE

A Secure Microgrid Data Storage Strategy with Directed Acyclic Graph Consensus Mechanism

Jian Shang^1,2,*, Runmin Guan², Wei Wang²

1 College of Computer and Information, Hohai University, Nanjing, 211100, China
2 Division of Research and Innovation, Jiayuan Technology Co., Ltd., Nanjing, 211100, China

* Corresponding Author: Jian Shang. Email:

(This article belongs to the Special Issue: Security and Privacy Fog-Cloud Assisted Internet of Things Network)

Intelligent Automation & Soft Computing 2023, 37(3), 2609-2626. https://doi.org/10.32604/iasc.2023.037694

Received 14 November 2022; Accepted 19 May 2023; Issue published 11 September 2023

Abstract

The wide application of intelligent terminals in microgrids has fueled the surge of data amount in recent years. In real-world scenarios, microgrids must store large amounts of data efficiently while also being able to withstand malicious cyberattacks. To meet the high hardware resource requirements, address the vulnerability to network attacks and poor reliability in the traditional centralized data storage schemes, this paper proposes a secure storage management method for microgrid data that considers node trust and directed acyclic graph (DAG) consensus mechanism. Firstly, the microgrid data storage model is designed based on the edge computing technology. The blockchain, deployed on the edge computing server and combined with cloud storage, ensures reliable data storage in the microgrid. Secondly, a blockchain consensus algorithm based on directed acyclic graph data structure is then proposed to effectively improve the data storage timeliness and avoid disadvantages in traditional blockchain topology such as long chain construction time and low consensus efficiency. Finally, considering the tolerance differences among the candidate chain-building nodes to network attacks, a hash value update mechanism of blockchain header with node trust identification to ensure data storage security is proposed. Experimental results from the microgrid data storage platform show that the proposed method can achieve a private key update time of less than 5 milliseconds. When the number of blockchain nodes is less than 25, the blockchain construction takes no more than 80 mins, and the data throughput is close to 300 kbps. Compared with the traditional chain-topology-based consensus methods that do not consider node trust, the proposed method has higher efficiency in data storage and better resistance to network attacks.

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Keywords

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