Analysis of Network Traffic Based on Distributed Statistical Time Series
基于分布式统计时间序列的网络流量分析

Studying relationship of distributed storage data would be conductive to the overall intrusion detection learning,thus this relationship could not only be used for intrusion detection learning algorithm,but also supervise to optimite data's storage. According to the analysis focused on relationship of network traffic in the distributed storage, a method based on distributed statistical time series was proposed. According to the relationship of network protocol, this method could group data packet, thus analyzed quantity relationship and gave alarm threshold. The experiment results show that the method can be used to detect network attacks.