大量的商业、色情和反动垃圾邮件和邮件病毒的泛滥给互联网用户带来很多烦恼和侵害,也给社会带来了极大的负面影响,邮件系统的安全问题引起业界的重点关注。作者提出了一种基于规则方法和基于统计方法相结合的中文垃圾邮件过滤方案,通过机器学习解决了邮件训练集和中文过滤规则的自动更新问题,并利用Linux下的多种开源软件,设计与实现了一款基于Linux的中文垃圾邮件过滤系统。 The proliferation of commercial, pornographic and reactive spam and mail viruses has caused a lot of annoyance and infringement on Internet users. It has also had a huge negative impact on the society. The security of the mail system has drawn the attention of the industry. The author proposes a Chinese spam filtering scheme based on the combination of the rule method and the statistical method, solves the automatic update problem of the mail training set and the Chinese filter rule by machine learning. By using a variety of open source software under Linux, Implemented a Linux-based Chinese spam filtering system.