面向智能变电站的威胁与风险评价模型研究与实现
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作者单位:

1.国网甘孜供电公司;2.国网四川省电力科学研究院;3.重庆大学

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TN914

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Research and development of threat and risk evaluation model for smart substation
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1.Company of Power Supply of State Grid, Ganzi, Sichuan;2.Sichuan Electric Power Research Institute, Chengdu;3.Chongqing University

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    摘要:

    由于传统入侵检测系统在资源受限设备中部署的效率及稳定性表现不足的问题,提出了面向智能变电站的入侵检测系统,在不影响主站系统执行效率的基础上优化系统结构,设计了基于网络入侵检测的分析系统,并优化数据存储结构为安全分析提供数据,并提出基于信息安全三维度的风险值计算算法,实现直观的判断攻击对系统的影响范围和程度,最后通过优化系统使系统满足被动性,低负荷,实时性以及可靠性的需求。实验结果表明,系统在资源受限设备中满足相关防护要求的同时,能够有效地检测入侵攻击并具有良好的性能。

    Abstract:

    Due to the lack of efficiency and stability of traditional intrusion detection systems deployed in the resource-constrained devices, an intrusion detection system for intelligent substations was proposed by optimizing the system performance without affecting the efficiency of the main station system. The analysis system was based on network intrusion detection structure and optimized data storage to provide for the further security analysis, also proposed a risk value calculation algorithm based on the three-dimensional degree of information security, which can intuitively determine the scope and extent of the impact of the attack on the system, adjusted the system to satisfy the needs of passive, low load, real-time and reliability. Experimental results show that the system can effectively detect intrusion attacks and has stable performance while meeting the protection requirements in intelligent substation devices.

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历史
  • 收稿日期:2020-05-25
  • 最后修改日期:2020-07-20
  • 录用日期:2020-07-23
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