本文選題：層次分析法　切入點：模糊綜合評價　出處：《華北電力大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：電力作為基礎(chǔ)行業(yè)，保障人們?nèi)粘Ｉ畹耐瑫r為國家經(jīng)濟(jì)發(fā)展提供支撐。近幾年來，隨著各種信息通信技術(shù)的發(fā)展及其在電力系統(tǒng)中的大規(guī)模使用，給電力系統(tǒng)安全穩(wěn)定運行帶來了一定的威脅，因此亟需對電力信息網(wǎng)絡(luò)安全問題深入剖析和研究。本文對電力信息網(wǎng)路安全分析，明確當(dāng)前電力信息網(wǎng)絡(luò)的安全威脅主要來自于電力信息系統(tǒng)的威脅和電力信息網(wǎng)絡(luò)邊界安全威脅，將評估模型應(yīng)用到電力信息網(wǎng)絡(luò)中，做好預(yù)防，防患于未然。 本文首先引入三角模糊數(shù)對層次分析法進(jìn)行改進(jìn)，給出了基于三角模糊數(shù)的指標(biāo)權(quán)重確定算法，并將其應(yīng)用于電力信息系統(tǒng)安全等級評估。構(gòu)建電力信息系統(tǒng)安全等級評估指標(biāo)體系，基于三角模糊數(shù)的權(quán)重確定方法計算指標(biāo)權(quán)重并在此基礎(chǔ)上給出電力信息系統(tǒng)安全等級模糊綜合評價算法。以辦公自動化系統(tǒng)為例，，進(jìn)行算例實現(xiàn)，結(jié)果表明，該算法能準(zhǔn)確評估系統(tǒng)安全狀況，為電力信息安全管理提供依據(jù)。 將網(wǎng)絡(luò)安全態(tài)勢感知應(yīng)用于電力信息網(wǎng)絡(luò)，重點對電力信息網(wǎng)絡(luò)安全態(tài)勢評估和預(yù)測方法進(jìn)行研究。對電力信息網(wǎng)絡(luò)安全分析，將不同安全檢測設(shè)備的數(shù)據(jù)冗余處理，給出電力信息網(wǎng)絡(luò)安全態(tài)勢評估模型量化計算安全態(tài)勢值。以1999年DARPA評估數(shù)據(jù)為分析對象，分別計算主機(jī)及網(wǎng)絡(luò)的安全態(tài)勢值，與實際情況對比，能準(zhǔn)確地反映網(wǎng)絡(luò)安全運行狀況。 在電力信息網(wǎng)絡(luò)安全態(tài)勢評估的基礎(chǔ)上，提出了基于雁群啟示的粒子群選擇性支持向量機(jī)集成算法用于電力信息網(wǎng)絡(luò)安全態(tài)勢預(yù)測。實驗結(jié)果顯示該算法預(yù)測誤差小，能夠準(zhǔn)確地預(yù)測網(wǎng)絡(luò)安全態(tài)勢。
[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.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.08;TM76

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