现代电子技术2017，Vol.40Issue(4)：61-65,5.DOI:10.16652/j.issn.1004-373x.2017.04.016
网络信息安全防范与W eb数据挖掘系统的设计与实现
Design and implementation of network information security protection and Web data mining system
摘要
Abstract
The traditional information mining method has narrow mining face and poor scalability,so it cannot effectively dig out the unsafety information in the network. Therefore,the network information security protection and Web data mining sys⁃tem was designed and realized. It is composed of Web text acquisition module,text classification module and category judgment module. The Web text acquisition module is used to collect text information from the Internet Web pages,and feeds the informa⁃tion back to text classification module. The text classification module is made up of training module,classification module and classifier. The training module adopts the text completing classification to train text classification model to obtain the correlation among different category feature words and establish vector space model. The classification module is used to conduct the seg⁃mentation processing of words in Web text under classification and diescribe the text feature words through vector. The classifier is used to operate the similarity between the character vector of the text under classification and all kinds of central vector to en⁃sure that the Web text is divided into the text type with the highest similarity. The category judgment module identifies whether the network text information under analysis belongs to the unsafety information,and gives an alarm for the unsafety information through the alarm module. The system function structure and program implementation code of the text categorization module are given in the software section. The experimental results indicate that the designed system has a high recall ratio,high precision ratio and high detection performance.关键词
网络信息/安全防范/Web数据/数据挖掘Key words
network information/security protection/Web data/data mining分类
信息技术与安全科学引用本文复制引用
赵悦品..网络信息安全防范与W eb数据挖掘系统的设计与实现[J].现代电子技术,2017,40(4):61-65,5.基金项目
国家自然科学基金项目（77208512）；河北省科技厅软科学项目 （）
