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云边缘协同电网状态监测数据区块链灾备方案

张利华,王文彪,杨怡,罗佳丽   

  1. 华东交通大学
  • 收稿日期:2025-01-02 修回日期:2025-03-19 发布日期:2025-04-08 出版日期:2025-04-08
  • 通讯作者: 张利华
  • 基金资助:
    智能电网边缘智能状态监测数据安全研究;基于区块链和边缘计算的智能电网全息状态感知数据安全研究

Data blockchain disaster recovery scheme for cloud-edge collaborative grid condition monitoring

  • Received:2025-01-02 Revised:2025-03-19 Online:2025-04-08 Published:2025-04-08
  • Supported by:
    Research on the Intelligent Status Monitoring Data Security at the Edge of Smart Grid;Research on holographic state sensing data security of smart grid based on blockchain and edge computing

摘要: 针对数据容灾备份方案存在的数据安全性低、易丢失和损坏、过度依赖第三方等问题,提出一种云边缘协同电网状态监测数据区块链灾备方案。首先采用云边缘协同方式,提高监测数据备份效率。其次结合Paillier算法和阈值秘密共享,对监测数据进行加密保护,实现分布式备份。最后将改进的Hot-Stuff共识机制应用于区块链,提高其共识效率。安全性分析表明,该方案具有隐私性、完整性、不可伪造性和正确性。性能分析表明,该方案降低了备份与恢复延迟、备份与恢复耗时和计算开销,且提高了吞吐量。

关键词: 区块链, 容灾备份, 状态监测, 云端协作, 共识机制

Abstract: Given that the challenges of data disaster recovery backup schemes, such as low data security, susceptibility to data loss and damage, and excessive reliance on third-party services, a data blockchain disaster recovery scheme for cloud-edge collaborative grid condition monitoring was proposed. First, a cloud-edge collaboration approach was adopted to enhance monitoring data backup efficiency. Then, the Paillier algorithm and threshold secret sharing were combined to encrypt monitoring data, achieving distributed backup protection. Finally, an improved Hot-Stuff consensus mechanism was applied to blockchain architecture to optimize consensus efficiency. Security analysis demonstrates that the proposed scheme ensures privacy, integrity, unforgeability, and correctness. Performance analysis shows that the scheme reduces backup and recovery latency, backup and recovery time, and computational overhead, while improving throughput.

Key words: blockchain, disaster recovery, condition monitoring, cloud collaboration, consensus mechanisms

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