Real-time monitoring and filtering system for mobile SMS

被引：14
|
作者：
Wu, Ningning [1 ]
Wu, Mingguang [1 ]
Chen, Siguo [1 ]
机构：
[1] Zhejiang Univ, Dept Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310003, Zhejiang, Peoples R China
来源：
ICIEA 2008: 3RD IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, PROCEEDINGS, VOLS 1-3 | 2008年
关键词：
D O I：
10.1109/ICIEA.2008.4582731
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposed a new method of real-time information monitoring and filtering for mobile short messaging service (SMS) system. This method implements the mobile SMS real-time monitoring and filtering by combining the Pinyin Fuzzed Keyword Matching Technology with dynamical adjustment of the users' credit-grade. This method firstly classifies the SMS into three categories: legal SMS, doubtful SMS and junk SMS, then creates the keyword dictionary by Bayesian Learning and runs parallel real-time filtering on polynuclear hardware platform. It enhances the junk message interception rate and the processing speed of short message service center (SMSC), reduces the misjudgment rate for the monitoring center, and meanwhile gives consideration to interests of both the operators and customers.
引用
收藏
页码：1319 / 1324
页数：6
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