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基于图模型和相似性计算的新型电力终端动态信任评估方法

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针对新型电力系统海量终端的信任模型计算粒度粗、消耗资源大的问题,文章提出一种基于图模型和相似性计算的终端动态信任评估方法.首先通过建立图模型,结合模糊推理计算节点的直接信任,采用相似性度量方法计算间接信任,通过加权求和确定综合信任值的大小.然后采用自回归移动平均(auto-regressive moving average,ARMA)模型预测综合信任值,根据预测值、实际值的残差和历史阈值比较判断节点的性质.最后通过实验结果证明,该信任评估方法能够及时准确地发现和检测恶意终端节点.
A New Dynamic Trust Evaluation Method for Power Terminals Based on Graph Model and Similarity Calculation
The trust model for massive terminals has the problems of coarse computing granularity and high resource consumption.A new dynamic trust evaluation method for power terminals based on graph model and similarity calculation(GASTEM)is proposed.Firstly,by establishing a graph model and combining fuzzy reasoning to calculate the direct trust of nodes,using similarity measurement method to calculate indirect trust,and the size of the comprehensive trust value through weighted summation is determined.Then,the AMRA model is used to predict the comprehensive trust value.The properties of the node are determined by comparing the residuals of the predicted value,actual value,and historical threshold.Finally,the experimental results demonstrate that this trust evaluation method can timely and accurately discover and detect malicious terminal nodes.

new type of power terminaldynamic trust assessmentgraph modelsimilarity measurementAMRA

李勇、陈牧、马媛媛、李尼格、郭广鑫

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中国电力科学研究院有限公司 电力网络安全防护与监测技术实验室,江苏省 南京市 210000

国网北京市电力公司,北京市 西城区 100032

新型电力终端 动态信任评估 图模型 相似性度量 AMRA

2024

电力信息与通信技术
中国电力科学研究院

电力信息与通信技术

CSTPCD
影响因子:0.699
ISSN:1672-4844
年,卷(期):2024.22(12)