Sampling of Mass SMS Filtering Algorithm Based on Frequent Time-domain Area

Author

Hu, XIA ; Yan, Fu

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2010

fDate

9-10 Jan. 2010

Firstpage

548

Lastpage

551

Abstract

With the rapid growth of the SMS, the filtration to all messages has been unable to meet the real-time processing requirement. In this paper, we propose a sampling of mass SMS filtering algorithm based on frequent time-domain area to solve this problem. First, we collect the long-running system log. And then analyze the time and domain features of the messages to generate the time-domain strategy. Finally we predict the potential spam messages´ rate in different domain and different time, and carries on the filtration according to each rate separately. This algorithm can satisfy the real-time filtration requirement of the mass SMS stream, and meanwhile there is no significant reduction in spam.

Keywords

electronic messaging; information filtering; unsolicited e-mail; frequent time domain area; long running system log; mass SMS filtering algorithm; potential spam message rate; real time processing requirement; Filtering algorithms; Filtration; Information filtering; Information filters; Information security; Matched filters; Mobile handsets; Monitoring; Sampling methods; Time domain analysis; Mass SMS filtering; frequent time-domain area; sampling algorithm; spam message;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on

Conference_Location

Phuket

Print_ISBN

978-1-4244-5397-9

Electronic_ISBN

978-1-4244-5398-6

Type

conf

DOI

10.1109/WKDD.2010.50

Filename

5432497