基于自学习规避库的短消息过滤系统的设计与实现

Design and Implementation a Short Message Filtering System Based on Self-renewal Special Symbols Library

为了解决目前网络上流行的在短消息敏感词汇中添加特殊符号，使该敏感信息绕开过滤软件的问题，设计与实现了一种基于自学习规避库的短消息过滤系统。该系统首先运用内容预变换技术去掉原始短消息中的特殊符号，然后采用相似匹配技术对特定内容短消息进行实时过滤与规避库的自我更新．实现了友好的人机交互界面，给出短信过滤系统的测试结果，并根据这些测试结果对系统进行了分析和评估。

In order to solve a popular network behavior that adding some special symbols to the sensitive vocabulary, so that the sensitive information can bypass the current filtering software, design and implementation a Short message filtering system Based on self-update special chars library. Firstly using content pre-transform skill to remove the special symbols in the original message, and then use a similar matching technology to realize the specific content filtering in real-time and achieve special symbols self-renewal. Implements a friendly interactive interface and gives the test results of the message filtering system ,and these test results are analyzed and evaluated in the last.