基于CML的智能变电站设备节点网络连锁失效模型研究
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1.国网四川省电力科学研究院;2.国网自贡供电公司;3.国网甘孜供电公司;4.重庆大学

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智能变电站混层系统安全风险分析技术研究与实现


Research on methods of Information Security Risk Analysis to the smart Substation
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1.Department of Information and Communication Security and Technology, Sichuan Electric Power Research Institute;2.Company of Power Supply Zigong, Sichuan Electric Power Research Institute;3.Company of Power Supply Ganzi, Sichuan Electric Power Research Institute;4.Chongqing University

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    摘要:

    为了确保智能变电站的安全,规避信息安全风险,对变电站存在的漏洞进行评估和管理是必要的。通用的信息安全风险评估流程是将资产重要性、威胁等级和脆弱性等级作为量化指标,通过这三个指标得出安全事件的影响和可能性的值,再以此为基础计算出对象的风险值。本文提出了一种基于CML的智能变电站设备节点网络失效连锁的模型,通过对智能变电站设备节点以及节点间的设备连接建立网络,来评估不同设备节点在发生故障时对智能变电站整体设备网络的影响,从而对智能变电站信息安全风险进行有效分析。基于该模型的智能变电站信息安全风险分析管理子系统可以协助管理者对智能变电站的信息安全风险数据进行管理并实现数据可视化。结果表明,对智能变电站的信息安全风险分析管理有改善作用。

    Abstract:

    In order to ensure the safety of intelligent substation and avoid information security risks, it is necessary to evaluate and manage the vulnerability in the substation. The mainstream risk assessment methods use asset importance, threat level and vulnerability level as quantitative indicators. Through these three indicators, the value of the impact and possibility of security events is obtained, and then the risk of the object is calculated. This paper proposes a CML-based intelligent substation logic node network failure chain model, Through the establishment of a network of intelligent substation logical nodes and logical connections between nodes, the impact of different logical nodes on the overall logical network of intelligent substation in the event of a fault is evaluated, so that the intelligent substation information security risk can be effectively analyzed. The intelligent substation information security risk analysis and management subsystem based on this model can help managers manage information security risk data of intelligent substation and realize data visualization. The results show that the information security risk analysis and management of intelligent substation can be improved by this.

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  • 收稿日期:2019-12-06
  • 最后修改日期:2019-12-21
  • 录用日期:2019-12-26
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