提出了基于信息熵的大规模网络流量异常检测方法。
This paper presents a new method of network-wide traffic anomaly detection.
本文采用一种累加模型将复杂大规模网络流量分解成趋势项、周期项和随机项。
In this paper, according to the characteristics of non linear network traffic, traffic behaviors are decomposed into trend items, period items, and random items by an accumulation decomposition model.
该系统采用分布式的架构，对于大规模网络流量的监测与分析提供了一个很好的支持平台。
The system, employing a distributed architecture, gives a quite well supporting platform for the measure and analysis of large-scale network traffic.
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