Spam message online filtering system based on hash function and naive Bayes
基于Hash函数和贝叶斯方法的垃圾短信在线过滤系统

A spam message online filtering system was proposed,integrating the black-white list filtering module and synthesis value function module.A two-layer hash method and a probability computing method based on naive Bayes were used to analyze the suspect spam message in depth in terms of content,length,frequency and others.Excellent real-time and features in filtering the great many of short messages were achieved,and the problems of traditional spam message filtering system was resolved efficiently.