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基于社交网络机理的短信息监控系统
引用本文:仲玉芳,王慧芬,叶星,吴明光.基于社交网络机理的短信息监控系统[J].电信科学,2011,27(10):71-76.
作者姓名:仲玉芳  王慧芬  叶星  吴明光
作者单位: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
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

Short Message Monitoring System Based on Social Network Mechanism
Zhong Yufang,Wang Huifen,Ye Xing,Wu Mingguang.Short Message Monitoring System Based on Social Network Mechanism[J].Telecommunications Science,2011,27(10):71-76.
Authors:Zhong Yufang  Wang Huifen  Ye Xing  Wu Mingguang
Affiliation:1(1.Department of Control Science and Engineering,Zhejiang University,Hangzhou 310027,China;2.The Sunflux Energy Technology(Hangzhou) Co.,Ltd.,Hangzhou 311215,China)
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.
Keywords:social network  clustering phenomenon  junk SMS filtering  communication history
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