基于贝叶斯定理的垃圾邮件分类技术研究

邮件过滤技术是反垃圾邮件的重要手段,目前对垃圾邮件的过滤主要有基于内容、基于IP地址和基于信头、信封等方法,这些方法对垃圾邮件的过滤起到了一定作用.但是由于信体是垃圾邮件的最终载体,而仅依据IP地址、信头、信封中的特征容易造成错误判断.在贝叶斯分类器的工作原理的基础上,提出了基于贝叶斯分类器的反垃圾邮件模型的原理与实现方法,将反映垃圾邮件的特征综合在一起统称为"属性",避免了单纯基于IP、信头、信封过滤的规则性太强的缺点,降低将正常邮件判断为垃圾邮件的风险.

Study on email on classifying technique based Bayes

The email filter is one of the key technologies of anti-spam, Nowadays, the email filter technologies have three ways, The first way is based on the contents, The second way is based on IP address. The third way is based on the head or envelope of the email. These technologies have more or less effects on filtering spams. But because the body of an email is the essential carrier of spam, so it is easy to make false judgment only based on IP address, the head of emails, or the envelope of emails. This paper puts forward a scheme of spam filter system, which works before mail server independently, It adopts Bayes algorithm to filter spams. Thus it can avoid the shortcoming of strong rules, which is only based on IP address, the head of emails, or the envelope of emails.