摘要
垃圾短信不但占用了有限的网络资源,造成网络拥塞,而且严重影响了广大用户的日常工作和生活。在分析现有的短信过滤系统的基础上,提出一种通过在短消息服务中心和手机客户端过滤相结合的垃圾短信过滤方法。相比传统方法而言,此方法在过滤效率和准确率两方面均有大幅度的提升。
Spam messages not only take up the already limited network resources and cause network traffic jams,but also seriously influence many users＇ daily work and life.On the basis of analyzing the present SMS filtration system,the article puts forward a spam message filtration method by combining the filtrations at both the message service center and the mobile phone terminal.Compared with traditional methods,the new method achieves significant improvements in filtration efficiency and accuracy.
出处
《计算机应用与软件》
CSCD
2011年第12期195-197,共3页
Computer Applications and Software
关键词
垃圾短信
黑白名单
HASH函数
短信过虑
朴素贝叶斯
Spam message Black and white list Hash function Short message filtering Naive Bayes
