發(fā)布時間：2018-06-06 05:44

  本文選題：網(wǎng)絡(luò)安全 + 網(wǎng)絡(luò)攻擊�。� 參考：《計算機仿真》2017年11期

【摘要】：對網(wǎng)絡(luò)攻擊風(fēng)險的預(yù)測,能夠保障計算機網(wǎng)絡(luò)的安全穩(wěn)定運行。對網(wǎng)絡(luò)攻擊風(fēng)險的預(yù)測,需要計算網(wǎng)絡(luò)安全要素集對節(jié)點的機會指數(shù)的影響程度,獲取網(wǎng)絡(luò)的各個層的加權(quán)函數(shù),完成攻擊風(fēng)險預(yù)測。傳統(tǒng)方法給出網(wǎng)絡(luò)安全的融合規(guī)則,確定網(wǎng)絡(luò)攻擊風(fēng)險數(shù)據(jù)源的融合優(yōu)先級,但忽略了獲取網(wǎng)絡(luò)的各個層的加權(quán)函數(shù),導(dǎo)致預(yù)測精度偏低。提出基于能力機會意圖的網(wǎng)絡(luò)信息安全攻擊風(fēng)險預(yù)測。該方法先從網(wǎng)絡(luò)的基礎(chǔ)運行性、網(wǎng)絡(luò)的威脅性、網(wǎng)絡(luò)的脆弱性來定義網(wǎng)絡(luò)網(wǎng)絡(luò)安全的加權(quán)融合函數(shù),給出網(wǎng)絡(luò)安全因子觀測值,計算網(wǎng)絡(luò)安全要素集對節(jié)點的機會指數(shù)的影響程度,得到網(wǎng)絡(luò)安全因子的觀測值,獲取網(wǎng)絡(luò)的各個層的加權(quán)函數(shù),并組建網(wǎng)絡(luò)信息安全攻擊風(fēng)險預(yù)測。實驗證明,所提方法建模精度較高,可以為提升計算機網(wǎng)絡(luò)信息安全等級奠定基礎(chǔ)。
[Abstract]:The prediction of network attack risk can ensure the safe and stable operation of computer network. To predict the network attack risk, it is necessary to calculate the influence degree of the network security element set on the opportunity index of the node, obtain the weighting function of each layer of the network, and complete the attack risk prediction. The traditional method gives the fusion rules of network security, determines the fusion priority of network attack risk data source, but neglects to obtain the weighting function of each layer of the network, which results in low prediction accuracy. A network information security attack risk prediction based on capability opportunity intention is proposed. In this method, the weighted fusion function of network security is defined from the basic operation of the network, the threat of the network and the vulnerability of the network, and the network security factor observations are given. The influence degree of the network security element set on the opportunity index of the node is calculated, the observation value of the network security factor is obtained, the weighting function of each layer of the network is obtained, and the risk prediction of network information security attack is established. Experimental results show that the proposed method has high modeling accuracy and can lay a foundation for improving the security level of computer network information.
【作者單位】： 銀川能源學(xué)院濱河校區(qū);
【分類號】：TP393.08

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