现代电子技术2016，Vol.39Issue(6)：14-17,20,5.DOI:10.16652/j.issn.1004-373x.2016.06.004
基于改进关联规则的危险Web信息挖掘技术研究
Research on risk web information mining technology based on improved association rules
摘要
Abstract
The security of cyber information space is threatened by the hazard information that caused by different protocols and network channels in Web network,and the cyber space is purified to ensure the network security by mining the hazard Web information accurately. The algorithm of the fuzzy association rules are used in the traditional method to excavate and classified the dangerous Web information. The fuzzy clustering is easy to be disturbed in the influence background and has low efficiency, so it is hard to establish effective association rules. Because of this,the risk Web information mining technology based on the im⁃proved association rules is proposed. Before establishing the association rules,Takens theorem is introduced to reconstruct the phase space of the hazard Web information data to establish the channel model for the hazard information mining in Web net⁃work and make classification design for the multisource progress of the risk Web information flow. An adaptive IIR cascade filtering algorithm is designed to filter the data influence,improve the progress of the association rules,and realize the accurate mining of the risk Web information. The simulation results for the performance verification show that this algorithm has advantages of good filtering interference performance and high accuracy.关键词
Web/数据挖掘/网络安全/Web 信息Key words
web/data mining/network security/Web information分类
信息技术与安全科学引用本文复制引用
黄宏本..基于改进关联规则的危险Web信息挖掘技术研究[J].现代电子技术,2016,39(6):14-17,20,5.基金项目
广西自然科学基金青年项目基于蜜蜂种群进化机制的智能算法研究及应用（2011GXNS-FB018073）；梧州学院科研项目:数据挖掘中关联规则挖掘的研究与应用 （）
