李金, 高红亮, 刘科孟, 谢虎. 基于边缘节点技术的电力系统入侵安全防护[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2022.0422
引用本文: 李金, 高红亮, 刘科孟, 谢虎. 基于边缘节点技术的电力系统入侵安全防护[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2022.0422
LI Jin, GAO Hongliang, LIU Kemeng, XIE Hu. Intrusion Security Protection of Power System Based on Edge Node Technology[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2022.0422
Citation: LI Jin, GAO Hongliang, LIU Kemeng, XIE Hu. Intrusion Security Protection of Power System Based on Edge Node Technology[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2022.0422

基于边缘节点技术的电力系统入侵安全防护

Intrusion Security Protection of Power System Based on Edge Node Technology

  • 摘要: 在电力系统安全防护中,为解决防护不全面问题,设计了基于边缘节点技术的电力系统安全防护方法。首先,基于边缘节点技术,建立边缘多址接入计算模型,对电力系统实施数据迁移,实现数据分布式部署。其次,设计数据传输加密算法,并基于GCForest,建立电力系统网络入侵检测模型,模型由样本输入层、多粒度扫描层以及训练层构成,实施系统入侵检测。测试结果表明:该方法的平均服务时延最低仅为456.32ms,网络健壮性没有较大波动,入侵检测的最高误检率和漏检率分别为0.13%和0.14%。

     

    Abstract: To solve the problem of incomplete protection in power system security protection, a power system security protection method based on edge node technology was designed. Firstly, based on the edge node technology, the edge multi-access computing model was established to implement data migration for the power system and realize distributed data deployment. Secondly, the data transmission encryption algorithm was designed. And based on the GCForest, the power system network intrusion detection model, which was composed of a sample input layer, multi-granularity scanning layer, and training layer, was established to implement system intrusion detection. The test results show that the average service delay of the proposed method is only 456.32ms, the network robustness has no significant fluctuations, and the maximum false detection rate and missed detection rate of intrusion detection are 0.13% and 0.14%, respectively.

     

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