大数据环境下网络异常流量检测方法分析

Analysis of Network Abnormal Traffic Detection Methods in Big Data Environment

云计算光纤网络中大数据出现异常负载易导致网络中断,建立提取云计算光纤网络大数据异常负载的检测模型,采用高阶统计量分析法进行特征重构,结合极限学习法进行异常负载检测自适应修整,根据高阶统计异常谱分布实现大数据异常负载检测。

The abnormal load of big data in cloud computing optical fiber network is easy to cause network interruption.The paper proposes to extract the abnormal load detection model of cloud computing optical fiber network big data,adopts the high-order statistical analysis method for feature reconstruction,and combines the limit learning method for the adaptive dressing of abnormal load detection.The abnormal load detection of big data is realized according to the high-order statistical anomaly spectrum distribution.