DocumentCode :
2629440
Title :
Spam Filtering by Stages
Author :
Ming, Liu ; Yunchun, Li ; Wei, Li
Author_Institution :
Beihang Univ., Beijing
fYear :
2007
fDate :
21-23 Nov. 2007
Firstpage :
2209
Lastpage :
2213
Abstract :
At the present time, the typical spam filtering technique is content filtering, but the content filtering belongs to after the event precaution, and cannot avoid network resources waste due to spam. Therefore, this paper used a method of spam behaviour recognition filtering. The method identify the spam according to the behaviour of mail sent, set up the model by Bayes technique, filter spam by the least risk of Bayes technique, and in the mail filtering application filtering spam by stages in order to recognizes the spam email as soon as possible. Experiments show that this method could get a better effect, and could identify the spam as early as possible, so that this approach could solve the problem of resources wasting.
Keywords :
Bayes methods; content management; filtering theory; unsolicited e-mail; Bayes technique; content filtering; mail filtering; spam behaviour recognition filtering; spam email; Bayesian methods; Computer science; Costs; Electronic mail; Filtration; Information filtering; Information filters; Information technology; Postal services; Unsolicited electronic mail;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Convergence Information Technology, 2007. International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
0-7695-3038-9
Type :
conf
DOI :
10.1109/ICCIT.2007.182
Filename :
4420582
Link To Document :
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