典型文献
Attack Detection for Spoofed Synchrophasor Measurements Using Segmentation Network
文献摘要：
Synchrophasor measurements are essential to real-time situational awareness of the smart grid but vulnerable to cyber-attacks during the process of transmission and invocation.To ensure data security and mitigate the impact of spoofed synchrophasor measurements,this work proposes a novel object detection method using a Weight-based One-dimensional Con-volutional Segmentation Network(WOCSN)with the ability of attack behavior identification and time localization.In WOCSN,automatic data feature extraction can be achieved by one-dimensional convolution from the input signal,thereby reducing the impact of handcrafted features.A weight loss function is designed to distribute the contribution for normal and attack signals.Then,attack time is located via the proposed binary method based on pixel segmentation.Furthermore,the actual synchrophasor data collected from four locations are used for the performance evaluation of the WOCSN.Finally,combined with designed evaluation metrics,the time localization ability of WOCSN is validated in the scenarios of composite attacks with different spoofed intensities and time-sensitivities.
文献关键词：
中图分类号：
作者姓名：
Wei Qiu;Chengcheng Li;Qiu Tang;Kaiqi Sun;Yilu Liu;Wenxuan Yao
作者机构：
College of Electrical and Information Engineering,Hunan University,Changsha 410082,China;Department of Electrical Engineering and Computer Science,University of Tennessee,Knoxville,TN,37996,USA;Oak Ridge National Laboratory,Oak Ridge,TN,37831,USA
文献出处：
引用格式：
[1]Wei Qiu;Chengcheng Li;Qiu Tang;Kaiqi Sun;Yilu Liu;Wenxuan Yao-.Attack Detection for Spoofed Synchrophasor Measurements Using Segmentation Network)[J].中国电机工程学会电力与能源系统学报（英文版）,2022(05):1327-1337
A类：
Spoofed,Synchrophasor,invocation,spoofed,synchrophasor,WOCSN
B类：
Attack,Detection,Measurements,Using,Segmentation,Network,measurements,essential,real,situational,awareness,smart,grid,vulnerable,cyber,attacks,during,process,transmission,To,ensure,data,security,mitigate,impact,this,proposes,novel,object,detection,method,using,Weight,One,dimensional,Con,volutional,ability,behavior,identification,localization,In,automatic,extraction,can,achieved,one,convolution,from,input,thereby,reducing,handcrafted,features,weight,loss,function,designed,distribute,contribution,normal,signals,Then,located,via,proposed,binary,pixel,segmentation,Furthermore,actual,collected,four,locations,used,performance,evaluation,Finally,combined,metrics,validated,scenarios,composite,different,intensities,sensitivities
AB值：
0.548475
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