配电网信息物理系统恶性数据链检测与识别
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引用本文:迟福建,李桂鑫,孙 阔.配电网信息物理系统恶性数据链检测与识别[J].计算技术与自动化,2021,(1):174-178
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迟福建,李桂鑫,孙 阔 (国网天津市电力公司,天津 300000) 
中文摘要:由于恶性数据链干扰配电网的信息输出和转发控制能力,因此需检测配电网信息物理系统中的恶性数据链。根据恶性数据时间序列节点融合恶性数据链能量特征,并构建其高维映射结构,通过高维映射结构拟合恶性数据,获取恶性数据链。采用谱特征提取方法建立恶性数据链谱特征量模型,实现配电网信息物理系统恶性数据链的分类检测。仿真结果表明,采用该方法进行配电网信息物理系统恶性数据链检测的自适应性较好,分辨能力较强,在配电网信息物理系统恶性数据链检测识别中具有很好的应用价值。
中文关键词:配电网  信息物理系统;恶性数据链;检测
 
Detection and Identification of Malignant Data Link in Distribution Network Cyber Physical System
Abstract:Because the malignant data link interferes with the information output and forwarding control ability of the distribution network, it is necessary to detect the malignant data link in the distribution network cyber physical system. According to the energy characteristics of malignant data link fusion by time series nodes of malignant data, the high dimensional mapping structure is constructed, and the malignant data chain is obtained by fitting malignant data by high dimensional mapping structure. The spectral feature extraction method is used to establish the spectral feature model of malignant data chain, and the classification and detection of malignant data link in distribution network cyber physical system is realized. The simulation results show that the method has good adaptability and strong resolution in the detection of malignant data chain in distribution network cyber physical system. The detection and recognition of malignant data chain in cyber physical system has good application value.
keywords:distribution network  cyber physical system  malignant data link  detection
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