Abstract: As an important information exchange tool, emails contribute to serious problems such as spam-mails, mali- cious mails and private information leaks. Junk mail detection is a recently emerging filed,which aims to provide a effi- cicnt monitoring means on deciding whether a mail is a junk mail. We provided a behavior-based method of junk mail de- tection. We showed the behavior models used in our method and gave a introduction of the algorithm processes. We im- plemented our method on a real mail set and gave some comparisons with content based junk mail detection to get some experiences in mining mail information.

Key words: Junk mail,I3ehavior model,Mai1 detection,Data mining,Email