Title :
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
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;
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
DOI :
10.1109/WKDD.2010.50
