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电力大数据:2024,27(4):-
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考虑抗属性篡改的电力调度多径数据加密传输方法
白宏宇, 杨帅, 袁涔, 李玉靖, 杨粤, 杜江
(贵州电网有限责任公司电力调度控制中心)
Multi-path data encryption transmission method for power dispatching considering anti-attribute tampering
白宏宇, 杨帅, 袁涔, 李玉靖, 杨粤, 杜江
(Power Dispatching and Control Center of Guizhou Power Grid Co., Ltd)
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投稿时间:2024-06-21    修订日期:2024-07-08
中文摘要: 电力调度数据需要具备高实时性,但网络带宽、数据缓存等因素可能导致数据传输延迟,且电力调度数据在传输过程中可能会受到黑客入侵、病毒传播等外部网络攻击,导致数据篡改,对电力系统安全监测造成威胁。为了提高电力调度数据传输的实时性和安全性,提出考虑抗属性篡改的电力调度多径数据加密传输方法。在电力调度数据分割成多个数据块的基础上,建立多路径数据块传输通信链,提高数据传输效率。采用高级加密标准(Advanced Encryption Standard,AES)算法对数据块进行加密处理,为每个数据块生成一个加密密钥,保证电力调度过程中的机密性。使用线性回归拟合提取加密后的数据块属性特征,根据属性选择不同路径,将电力调度数据同时传输至接收端,完成电力调度多径数据加密传输。实验结果表明,数据传输延迟为0.41ms,数据完整通过率为97.9%,数据认证准确度为0.97。
Abstract:Power dispatching data needs high real-time, but network bandwidth, data cache and other factors may cause data transmission delay, and power dispatching data may be attacked by external networks such as hacker intrusion and virus spread during transmission, which may lead to data tampering and pose a threat to power system security monitoring. In order to improve the real-time and security of power dispatching data transmission, a multi-path data encryption transmission method of power dispatching considering anti-attribute tampering is proposed. On the basis of dividing power dispatching data into multiple data blocks, a multi-path data block transmission communication chain is established to improve data transmission efficiency. The Advanced Encryption Standard algorithm is used to encrypt the data blocks, and an encryption key is generated for each data block to ensure the confidentiality in the power dispatching process. Linear regression fitting is used to extract the attribute characteristics of encrypted data blocks, and different paths are selected according to the attributes, and the power dispatching data are transmitted to the receiving end at the same time, thus completing the encrypted transmission of multi-path data of power dispatching. The experimental results show that the data transmission delay is 0.41ms, the data integrity pass rate is 97.9%, and the data authentication accuracy is 0.97.
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基金项目:中国南方电网有限责任公司科技项目“基于深度学习的电网调度全业务智能防误技术研究及应用”(GZKJXM20220105)
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