基于分层协作的垃圾短信过滤模型  

Spam Short Message Filtering Model Based on Layers Cooperation

作　　者：甘金明[1] 万励[1] 吴洁明[1] 

机构地区：[1]梧州学院计算机科学系,广西梧州543002

出　　处：《科技通报》2012年第10期116-118,共3页Bulletin of Science and Technology

基　　金：广西科学研究与技术开发计划项目(桂科攻11107007-8)

摘　　要：为了提高手机垃圾短信检测率,提出一种分层协作的垃圾短信过滤模型,将黑白名单作为垃圾短信过滤第一道防线,贝叶斯算法作为第二道防线,并及时更新系统特征库。仿真结果表明,本文算法能够高效地识别垃圾短信,有效地降低了误报率,具有重要的研究价值和社会意义。In order to improve the detect rate,this paper proposes a layers cooperation spam short message filtering model based on black white list and Bayesian algorithm.The black and white list algorithm is used as the first defense while Bayesian algorithm is used as the second defense,and updates the system feature library.The simulation experiment shows that the proposed model can efficiently identify spam messages and reduce the false alarm rate.

关 键 词：垃圾短信 贝叶斯算法 白名单 过滤算法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]