Content-based Method for Filtering Abnormal Information in Network
基于内容的网络异常信息过滤

Information filtering is an important solution to network content security.In this paper,we analyze the general process of information filtering and propose a content-based method for filtering network abnormal information.Network data capturing frame and network protocol analyzer are designed to collect source information.In order to preprocess network data,we use segmentation tags to realize word segmentation and apply vector space model to transform text information into structured data.Finally,an algorithm for computing document similarity is presented,which filters abnormal information more efficiently.