短信过滤系统设计分析  

Spam filter for short message

作　　者：胡日勒[1] 蔡洁[1] 钟义信[1] 

机构地区：[1]北京邮电大学信息工程学院

出　　处：《计算机应用研究》2008年第8期2557-2560,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(60496327,60575034)

摘　　要：设计了一种手机终端上基于短信内容的垃圾短信过滤系统。系统采用了平衡Winnow算法,该算法具有分类速度快、性能好以及支持在线更新的优点,适用于手机终端资源有限、需要实时或者定期更新分类器的情况。通过一系列的实验分析,证明该方法的有效性,并给出了对该方法的全面评估。对于该算法将来在信息过滤领域的应用,提供了全面的分析依据。This paper proposed a content-based spam filter embedded in mobile phones. It used the balanced Winnow algorithm as the kernel classifier in the system, since the algorithm could classify texts faster, better and what＇ s more, it allowed on-line setting. The Winnow classifier was suitable for systems which had limited resources and needed to be renewed at inter- vals. Then implemented a series of experiments to prove the good performance of the system, and analyzed the method from many aspects. This paper gave a statistic support for the information filters using balanced Winnow.

关 键 词：短信过滤系统 垃圾过滤 平衡Winnow算法 在线更新 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]