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电力通信网安全脆弱性区域的二维云模型检测方法

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为了给电力通信网的安全管理提供有效工具,针对区域位置坐标难以定位与区域面积误差较大的问题,在二维云模型下提出一种电力通信网安全脆弱性区域检测方法.根据电力通信网络的连接方式以及工作原理,构建二维云模型,采集并处理电力通信网络数据,从网络节点、链路等方面评估电力通信网的综合安全脆弱性,通过与阈值的比对,得出脆弱性区域面积以及位置的检测结果.仿真实验结果表明,脆弱节点判断与预先设置情况基本一致,优化的设计方法检测出的脆弱性区域位置坐标与区域面积误差分别为1.6 m和1.82 m2,均低于预设值,说明该方法具有良好的检测性能.
A Two-dimensional Cloud Model Detection Method for Security Vulnerability Area of Power Communication Network
In order to provide an effective tool for the security management of power communication network,aiming at the problem of difficult positioning of regional location coordinates and large regional area error,a security vulnerability area detec-tion method of power communication network is proposed by a two-dimensional cloud model.According to the connection mode and working principle of power communication network,we build a two-dimensional cloud model,collect and process the data of power communication network,evaluate the comprehensive security vulnerability of power communication network from net-work nodes and links,and obtain the detection results including the area and location of vulnerability area by comparing with the threshold.The simulation results show that the judgment of vulnerable nodes is basically consistent with the preset situa-tion.The errors of area location coordinates and area detected by the optimal design method are 1.6m and 1.82 m2,respective-ly,which are lower than the present values.It means that the method has good detection performance.

two-dimensional cloud modelpower communication networknetwork security vulnerabilityarea detection

林超、王建永

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广东电力信息科技有限公司,广东,广州 520000

二维云模型 电力通信网络 网络安全脆弱性 区域检测

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(5)