基于网络流量模型的异常检测是流量异常检测的一个重要研究方向。

Anomaly detection based on network traffic model is one of the important research directions in traffic anomaly detection.

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接着对网络流量模型算法分析，简单介绍了泊松模型，马尔科夫模型，AR, MA, ARMA模型，重点分析了ARIMA模型算法。

Then algorithm analysis of network traffic model, a brief introduction of the Poisson model, Markov model, ar, MA, ARMA model, focused on analyzing ARIMA model algorithm.

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实验结果表明，该模型对网络流量的短期预测是有效可行的，并具有良好的收敛性和稳定性。

The experimental results prove that the model is efficient in network traffic prediction with good astringency and stability.

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