Research Of Behavior Based Spam Filtering Technology

Email as a communication tool has a wide range of application. Although email facilitates our communication and cooperation, but the spam problem is more and more serious. How to use effective way to against spam email is always the focus of research.Through learning from related research at home and abroad, we point the disadvantage of the normal method on email processing efficiency, resource utilization and stability. Then the paper proposed a spam behavior analysis method based on user relation mining and reputation report and a method based on email transmission path mining.The method based on user relation mining and reputation report established a user relationship model according to user communication in controlled network, and then mined specific path set based on the user relationship model. Further, the method judged mail evaluation according to judge record which was established by user historic report on the path set. When receiver reported a mail, the method updated finger and user reputation based on judge model and receiver report.The method based on email transmission path mining built email server address topology according to received information in email head and considered the count of the email in a period of time to count the reputation of the email server and judge the email.The analysis and experiment results show that the method based on user relation mining and reputation report is effective to identify spam and robust to malicious users and the method based on email transmission path mining can identify spam to a certain extent.