云計(jì)算環(huán)境下企業(yè)網(wǎng)站泄露信息高效檢測(cè)仿真
發(fā)布時(shí)間:2018-06-02 20:06
本文選題:云計(jì)算環(huán)境 + 網(wǎng)站 ; 參考:《計(jì)算機(jī)仿真》2017年04期
【摘要】:云計(jì)算環(huán)境下對(duì)企業(yè)網(wǎng)站泄露信息的檢測(cè),能夠更好的保障云計(jì)算環(huán)境安全穩(wěn)定性。對(duì)泄露信息的高效檢測(cè),需要得到隱藏目錄泄露路徑,并計(jì)算泄露指數(shù),完成對(duì)泄露信息的檢測(cè)。傳統(tǒng)方法先細(xì)粒度地定位企業(yè)網(wǎng)站泄露源和信息泄露點(diǎn),追蹤企業(yè)網(wǎng)站信息傳播路徑,但忽略了泄露指數(shù)的計(jì)算,導(dǎo)致檢測(cè)精度偏低。提出基于K-Q的云計(jì)算環(huán)境下企業(yè)網(wǎng)站泄露信息檢測(cè)方法。先遵循關(guān)系型數(shù)據(jù)模型定義企業(yè)網(wǎng)站信息表,快速計(jì)算信息泄漏源和信息泄露點(diǎn)之間的可達(dá)性,得到隱藏目錄泄露路徑,并計(jì)算泄露指數(shù),利用計(jì)算的結(jié)果完成對(duì)云計(jì)算環(huán)境下企業(yè)網(wǎng)站泄露信息檢測(cè)。仿真證明,所提方法檢測(cè)精度高,可以有效的完成對(duì)云計(jì)算環(huán)境下企業(yè)網(wǎng)站泄露信息檢測(cè),為保障云計(jì)算環(huán)境安全穩(wěn)定性提供了可行的依據(jù)。
[Abstract]:In cloud computing environment, the detection of information leakage from enterprise websites can better ensure the security and stability of cloud computing environment. To detect the leaked information efficiently, we need to obtain the hidden directory leak path, calculate the leakage index, and complete the detection of the leaked information. The traditional method firstly finely locates the leak source and the information leakage point of the enterprise website, and tracks the information transmission path of the enterprise website, but neglects the calculation of the leakage index, which leads to the low detection accuracy. Based on K-Q cloud computing environment, this paper proposes a detection method of information leakage from enterprise websites. Firstly, according to the relational data model, the enterprise website information table is defined, the reachability between the information leakage source and the information leakage point is calculated quickly, the hidden directory leakage path is obtained, and the leakage index is calculated. Using the results of the calculation to complete the cloud computing environment of enterprise websites leak information detection. Simulation results show that the proposed method has high detection accuracy and can effectively detect the leakage information of enterprise websites in cloud computing environment, which provides a feasible basis for ensuring the security and stability of cloud computing environment.
【作者單位】: 河北大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院;
【分類(lèi)號(hào)】:TP393.092
【相似文獻(xiàn)】
相關(guān)期刊論文 前4條
1 田亮,徐孟春,朱衛(wèi)東,王立彬;基于特征值的網(wǎng)絡(luò)信息檢測(cè)與審計(jì)[J];計(jì)算機(jī)與現(xiàn)代化;2004年06期
2 黃領(lǐng);吳援明;;一種多任務(wù)信息檢測(cè)與通信系統(tǒng)設(shè)計(jì)[J];計(jì)算機(jī)應(yīng)用;2006年04期
3 周昌令;肖建國(guó);崔建;張蓓;李峰;;基于流重復(fù)信息檢測(cè)來(lái)估尋服務(wù)節(jié)點(diǎn)(英文)[J];中國(guó)通信;2012年05期
4 ;[J];;年期
相關(guān)會(huì)議論文 前1條
1 劉子豪;莊毅;;一種電子郵件敏感信息檢測(cè)算法[A];第八屆全國(guó)信息隱藏與多媒體安全學(xué)術(shù)大會(huì)湖南省計(jì)算機(jī)學(xué)會(huì)第十一屆學(xué)術(shù)年會(huì)論文集[C];2009年
相關(guān)碩士學(xué)位論文 前1條
1 楊凱帆;微博垃圾信息檢測(cè)[D];中國(guó)科學(xué)技術(shù)大學(xué);2015年
,本文編號(hào):1970020
本文鏈接:http://sikaile.net/guanlilunwen/ydhl/1970020.html
最近更新
教材專(zhuān)著