电力信息网络安全态势评估与预测方法研究

发布时间：2018-03-12 10:49

本文选题：层次分析法　切入点：模糊综合评价　出处：《华北电力大学》2014年硕士论文　论文类型：学位论文

【摘要】：电力作为基础行业，保障人们日常生活的同时为国家经济发展提供支撑。近几年来，随着各种信息通信技术的发展及其在电力系统中的大规模使用，给电力系统安全稳定运行带来了一定的威胁，因此亟需对电力信息网络安全问题深入剖析和研究。本文对电力信息网路安全分析，明确当前电力信息网络的安全威胁主要来自于电力信息系统的威胁和电力信息网络边界安全威胁，将评估模型应用到电力信息网络中，做好预防，防患于未然。本文首先引入三角模糊数对层次分析法进行改进，给出了基于三角模糊数的指标权重确定算法，并将其应用于电力信息系统安全等级评估。构建电力信息系统安全等级评估指标体系，基于三角模糊数的权重确定方法计算指标权重并在此基础上给出电力信息系统安全等级模糊综合评价算法。以办公自动化系统为例，，进行算例实现，结果表明，该算法能准确评估系统安全状况，为电力信息安全管理提供依据。将网络安全态势感知应用于电力信息网络，重点对电力信息网络安全态势评估和预测方法进行研究。对电力信息网络安全分析，将不同安全检测设备的数据冗余处理，给出电力信息网络安全态势评估模型量化计算安全态势值。以1999年DARPA评估数据为分析对象，分别计算主机及网络的安全态势值，与实际情况对比，能准确地反映网络安全运行状况。在电力信息网络安全态势评估的基础上，提出了基于雁群启示的粒子群选择性支持向量机集成算法用于电力信息网络安全态势预测。实验结果显示该算法预测误差小，能够准确地预测网络安全态势。
[Abstract]:Electricity, as a basic industry, guarantees people's daily life and provides support for national economic development. In recent years, with the development of various information and communication technologies and their large-scale use in the power system, It is necessary to analyze and study the security of power information network. This paper analyzes the security of power information network, and analyzes the security of power information network. It is clear that the current security threat of electric power information network mainly comes from the threat of electric power information system and the security threat of power information network. The evaluation model is applied to the power information network to prevent and prevent trouble in the future. In this paper, the triangular fuzzy number is introduced to improve the analytic hierarchy process (AHP), and an index weight determination algorithm based on the triangular fuzzy number is presented. It is applied to the security grade evaluation of electric power information system, and the index system of power information system security grade evaluation is constructed. The weight determination method based on triangular fuzzy number is used to calculate the index weight and on this basis, the fuzzy comprehensive evaluation algorithm of power information system security grade is given. Taking office automation system as an example, an example is implemented, and the result shows that, The algorithm can accurately evaluate the security status of the system and provide the basis for power information security management. The network security situation awareness is applied to power information network, and the methods of power information network security situation assessment and prediction are studied, and the data redundancy of different security detection equipment is processed by analyzing the power information network security. The security situation value of the power information network security situation assessment model is given. Taking the DARPA evaluation data of 1999 as the analysis object, the security situation values of the host computer and the network are calculated respectively, and the results are compared with the actual situation. Can accurately reflect the network security operation situation. On the basis of power information network security situation assessment, a particle swarm selective support vector machine (PSO) integrated algorithm based on goose swarm revelation is proposed for power information network security situation prediction. The experimental results show that the prediction error of this algorithm is small. Can accurately predict the network security situation.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.08;TM76

【参考文献】