本文選題：分布式環(huán)境 + 用戶(hù)網(wǎng)絡(luò)信息�。� 參考：《計(jì)算機(jī)仿真》2017年08期

【摘要】：分布式網(wǎng)絡(luò)環(huán)境下對(duì)用戶(hù)網(wǎng)絡(luò)信息安全性檢測(cè),能夠真正解決網(wǎng)絡(luò)安全問(wèn)題。對(duì)網(wǎng)絡(luò)的安全性進(jìn)行檢測(cè),需要根據(jù)網(wǎng)絡(luò)本體特征得到向量機(jī)類(lèi)中心最遠(yuǎn)的距離,定義隸屬度函數(shù),完成對(duì)網(wǎng)絡(luò)信息安全性檢測(cè)。傳統(tǒng)方法結(jié)合支持向量機(jī)理論對(duì)信息屬性值進(jìn)行劃分聚類(lèi),最后將劃分聚類(lèi)結(jié)果輸出,但忽略了建立隸屬度函數(shù),導(dǎo)致檢測(cè)結(jié)果不準(zhǔn)確。為解決上述問(wèn)題,提出基于模糊支持向量機(jī)(FSVM)理論的分布式環(huán)境下用戶(hù)網(wǎng)絡(luò)信息安全檢測(cè)方法。對(duì)用戶(hù)網(wǎng)絡(luò)信息梯度最大值進(jìn)行自適應(yīng)加權(quán)處理,得到輸出用戶(hù)網(wǎng)絡(luò)信息關(guān)聯(lián)指向性加權(quán)向量,結(jié)合模糊支持向量機(jī)理論實(shí)現(xiàn)用戶(hù)需求本體特征指向性波束聚類(lèi),以模糊支持向量機(jī)類(lèi)中心最遠(yuǎn)的距離作為度量定義隸屬度函數(shù),并以此為依據(jù)完成分布式環(huán)境下用戶(hù)網(wǎng)絡(luò)信息安全檢測(cè)。實(shí)驗(yàn)結(jié)果表明,所提方法能夠有效提升分布式環(huán)境下用戶(hù)網(wǎng)絡(luò)信息安全檢測(cè)效率,且檢測(cè)效果較好。
[Abstract]:In the distributed network environment, the security detection of user network information can solve the problem of network security. In order to detect the network security, we need to get the furthest distance of the vector machine class center according to the network ontology feature, define the membership function, and complete the security detection of the network information. The traditional method combines the support vector machine theory to classify the information attribute value, and finally outputs the partition clustering result, but neglects the establishment of the membership function, which leads to the inaccurate detection results. In order to solve the above problems, a security detection method of user network in distributed environment based on fuzzy support vector machine (FSVM) theory is proposed. The maximum information gradient of user network is processed by adaptive weighting, and the weighted vector of output user network information is obtained. Combined with fuzzy support vector machine theory, user demand ontology feature directivity beam clustering is realized. The farthest distance from the center of fuzzy support vector machine (FSVM) is taken as the metric to define membership function, and based on this, the information security detection of user network in distributed environment is completed. The experimental results show that the proposed method can effectively improve the detection efficiency of user network information security in distributed environment, and the detection effect is good.
【作者單位】： 武夷學(xué)院實(shí)驗(yàn)中心;
【基金】：福建省教育廳科技項(xiàng)目(JK2012056) 福建省科技廳科技項(xiàng)目(JK2016041)
【分類(lèi)號(hào)】：TP393.08

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