基于流量检测的远程教育网站的安全防范系统

Security and Forecasting System of E-Learning Web Based on Web Traffic

通过对远程教育网站的流量进行分析及预测,及时发现网络流量的异常情况,以便网管人员及时采取措施,预防意外的发生。该文首先对远程教育网站的安全性进行分析,然后提出了一个通过分析及预测网站流量对系统进行安全监测的系统。该系统由SOM及FIS两部分组成,主要采用了数据挖掘技术、模糊理论及神经网络技术。通过MATLAB对环境进行模拟,效果良好。

According to analyzing and forecasting of E-learning web traffic,find out the anomaly condition in time,and provide the information for web management to prevent the accident. the safety strategy of E-learning web was analyzed firstly,then a system was brought forward,which analyzing and forecasting web traffic,guarding web .The system is consisted of FIS and SOM,which used data mining and fuzzy theory and artificial neural network. We used MATLAB environment to simulate the various experiment,and result is confidence.