基于知识图谱的电力信息安全威胁可视化技术

Visualization technology of power information security threat based on Knowledge Map

传统电力信息安全威胁分析方法无法获取威胁数据的关联特征量,导致电力信息安全威胁的可视化效果较差。为此,提出基于知识图谱的电力信息安全威胁可视化技术。采用二值化图谱特征挖掘方法提取威胁数据关联特征量,通过模糊度检测和信息融合识别分析安全威胁高阶频谱特征量;利用稀疏散点图分析法加载三维可视化知识图谱,结合小波域特征分解方法实现电力信息安全威胁可视化。仿真结果表明,所提技术的图谱量化分析能力较高,电力威胁信息特征辨识度水平较好。

The traditional power information security threat analysis method can not obtain the associated characteristic quantity of threat data,which leads to the poor visualization effect of power information security threat.Therefore,the visualization technology of power information security threat based on knowledge map is proposed.The binary spectrum feature mining method is used to extract the association feature of threat data,and the high-order spectrum feature of security threat is analyzed by fuzzy degree detection and information fusion recognition.The sparse scatter diagram analysis method is used to load the three-dimensional visualization knowledge map,and the wavelet domain feature decomposition method is used to realize the visualization of power information security threats.The simulation results show that the proposed technology has a high ability of quantitative analysis of power spectrum,and the level of power threat information feature identification is good.