电信科学 ›› 2011, Vol. 27 ›› Issue (10): 71-76.doi: 10.3969/j.issn.1000-0801.2011.10.016

• 研究与开发 • 上一篇    下一篇

基于社交网络机理的短信息监控系统

仲玉芳1,王慧芬1,叶星2,吴明光1   

  1. 1 浙江大学控制科学与工程学系 杭州310027
    2 上方能源技术（杭州）有限公司 杭州311215
  • 出版日期:2011-10-15 发布日期:2011-10-15
  • 基金资助:
    国家科技部创新基金资助项目

Short Message Monitoring System Based on Social Network Mechanism

Yufang Zhong1,Huifen Wang1,Xing Ye2,Mingguang Wu1   

  1. 1 Department of Control Science and Engineering,Zhejiang University,Hangzhou 310027,China
    2 The Sunflux Energy Technology（Hangzhou）Co.,Ltd.,Hangzhou 311215,China
  • Online:2011-10-15 Published:2011-10-15

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摘要：

短信息实时过滤基于社交网络机理，从社交网络的聚类现象切入，通过确认发送者的身份实现短信息实时监控过滤。首先根据接收者与发送者之间是否存在通信历史对发送的短信进行预处理，进而根据接收者与发送者、接收者之间的通信历史记录实施二度实时过滤，确认发送者身份，拦截文本或多媒体形式的垃圾短信。并行过滤算法在对称多处理（SMP）的硬件平台上运行。

关键词: 社交网络, 聚类现象, 垃圾短信过滤, 通信历史

Abstract:

Real-time monitoring and filtering for mobile short message service （SMS）system is in terms of the clustering phenomenon of social network to check the sender's identify.At first pre-process SMS based on whether there are historical records between the sender and receiver,then take two degrees of real-time filtering in the light of statistics of both historical records from receivers to the sender and those among receivers.Parallel filtering algorithm and multinuclear hardware platform with symmetric multiprocessor（SMP）structure are used.It can be expected to solve the problem of filtering junk SMS,like text,sound and media in any language radically.

Key words: social network, clustering phenomenon, junk SMS filtering, communication history

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