恶意攻击背景下电力信息网络节点重要度评估  

Evaluation of Node Importance in Power Information Network Under Malicious Attack

作　　者：崔岩松 CUI Yan-song(Southern Power Grid Finance Co.,Ltd.,Guangzhou 510623 China)

机构地区：[1]南方电网财务有限公司,广东广州510623

出　　处：《自动化技术与应用》2024年第3期120-123,164,共5页Techniques of Automation and Applications

基　　金：教育部人文社会科学研究项目(09YJC630045)。

摘　　要：电力信息网络中攻击事件频发,关键节点遭受攻击的概率增大,为迅速确定关键节点,解决其故障问题,设计一种恶意攻击背景下的电力信息网络节点重要度评估方法。抽象处理电力信息网络,通过Prim算法与社团分区方法相结合的分区方法进行网络区域划分,再构建电力信息网络模型,进行电力信息网络的区间连锁故障建模,计算恶意攻击下连锁故障过程中电力信息网络的负荷损失。基于HITs算法设计网络节点重要度评估算法,实现节点重要度的评估。测试结果表明,设计方法对垃圾节点的识别抵御率始终高于94%,证明该方法在实践中表现良好。In the power information network,attacks occur frequently,and the probability of key nodes being attacked increases.In order to quickly determine the key nodes and solve their failure problems,this paper designs an importance evaluation method of power information network nodes under the background of malicious attacks.It abstracts processing of power information network,through the combination of prim algorithm and community zoning method,the network area is divided,and then the power information network model is constructed,the interval cascading fault modeling of power information network is carried out,and the load loss of power information network in the process of cascading fault under malicious attack is calculated.The importance evaluation algorithm of network nodes is designed based on HITS algorithm to realize the evaluation of node importance.The test results show that the recognition and resistance rate of the design method to garbage nodes is always higher than 94%,which proves that this method performs well in practice.

关 键 词：恶意攻击 PRIM算法 电力信息网络 节点重要度评估 负荷损失 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]