基于贝叶斯算法的短信营业厅防护系统设计

针对电信运营商短信营业厅系统易受垃圾短信影响的问题,给出一种基于贝叶斯算法的短信营业厅防护系统构建方法,即在现有系统的基础上,另外构建一个与现有业务系统无耦合的独立系统,部署在短信营业厅系统前端进行短信预处理。新系统主要由文本特征提取模块、分类模块、过滤模块组成,对接收到短信按贝叶斯算法进行分类,按规则库进行过滤和清洗垃圾短信,将有价值的短信送到短信营业厅系统处理,减少垃圾短信对系统资源的开销。理论分析显示,利用所建系统,可达到对短信营业厅有效防护效果。实践证明,防护系统应用后,短信营业厅系统资源消耗下降。

Design of protection system of SMS business system based on Bayesian algorithm

In order to solve the influence of rubbish short message telecom operators short message service business system, put forward a method of short message business office protection system based on Bayesian algorithm. Based on the existing system as the basis, to build a independent system without coupled with existing business system, the deployment of short message service pretreatment in front of short message service business system, system mainly has the text feature extraction module, a classification module, filtering module, to receive text messages are classified by the Bias algorithm, filter, according to the rule base cleaning garbage short message service, short message service text messages will be of value to the business hall system processing, reduce spam messages on the spending of system resources. Theoretical analysis shows that, by using the established system, can achieve effective protection effect of short message service business hall. Practice has proved, protection system, short message service business system resource consumption is reduced.