网络信息分级过滤系统的研究与实现

通过对网络信息内容进行分析并对信息进行过滤,能够保证信息的安全性。在关键字过滤和IP过滤基础上,采用双向最大匹配和基于内容分析的K-最邻近文本分类算法相结合进行内容过滤,以达到信息系统过滤信息的质量和速度的效果。以准确率和查全率为标准,对本方案进行测定和评估,评估结果表明,本方案的过滤效果比较理想。

Research and Implementation of Network Information Grading Filtering System

The network information security can be achieved by analyzing the contents of network information and filtering the illegitimate information.Based on the technologies about traditional IP,URL and key words filtering,in the fields of the characteristics,the contents and the words feature of the illegitimate texts,the crucial technologies adopted by the system are segmentation and feature extraction.On the platform of Windows Operation System,by making use of the technologies about Two-way Maximum Matching and K-Nearest Neighbor which are combined together to be applied to the illegal web page filtering system,it can be used to get improved that performance and efficiency of information system filtering.For standards with precision,this application is evaluated by using international evaluation method,and the consequence shows that it works well.