Internet网络安全的信息过滤模型分析

当前，由于Internet应用的逐渐普及，WWW已经成为一个巨大的分布式信息空间，为用户提供了一个极具价值的信息源。如何快速、准确得到确定领域中的信息，使信息过滤成为Internet网中关注的热点。基于此，该文分析了信息过滤中常用的向量空间模型、布尔逻辑模型和潜在语义索引三种信息过滤模型，以及存在的问题，在此基础上推出了一种准确度更好的模糊集合的信息过滤模型。

关 键 词 Internet网; 网络安全; 信息过滤; 模糊集合

Abstract Nowadays, Internet is more and more widely used. WWW has been a largely distributed information space and provided a valuable information resource for users. How get the information rapidly and accurately makes information filtrating become the focus of Internet. Based on these, the paper analysis the vector space model, Boolean logic model and the latent semantic index model in common use in the information filtrating and problems in existence. And the paper presents an accurate and better information filtrating model based on the blur muster.

Key words Internet network; network security; information filtrating; blur muster