Applying multiple time series data mining to large-scale network traffic analysis

@article{He2008ApplyingMT,
  title={Applying multiple time series data mining to large-scale network traffic analysis},
  author={Weisong He and Guangmin Hu and Xingmiao Yao and Guangyuan Kan and Hong Wang and Hongmei Xiang},
  journal={2008 IEEE Conference on Cybernetics and Intelligent Systems},
  year={2008},
  pages={394-399}
}
Minimize false positive and false negative is one of the difficult problems of network traffic analysis. This paper propose a large-scale communications network traffic feature analysis method using multiple time series data mining, analyze multiple traffic feature time series as a whole, produce valid association rules of abnormal network traffic feature, characterize the entire communication network security situation accurately. Experiment with Abilene network data verify this method. 

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