| 题名： |
Research on network traffic identification based on improved BP neural network |
| 作者： |
董仕,丁伟,龚俭 |
| 杂志/会议： |
Applied Mathematics & Information Science |
| 卷、期、页码： |
vol.7,no.1 |
| 时间： |
2013-01 |
| 关键词： |
Traffic identification,Principal Component Analysis, BP neural network, MOORESET, CERNET |
| 摘要： |
Traffic identification is a key task for any Internet Service Provider (ISP) or network administrator. Neural network is an important research method on traffic classification, this paper introduces the important methods of traffic classification,through study on Principal Component Analysis(PCA) and BP neural network. We propose an improved BP neural network to identify traffic and MOORE SET is used as dataset, meanwhile, building NOC SET dataset based on CERNET(China Education and Research Network).the experiment results show that accuracy rate of traffic classification based on the improved BP neural network model is relatively high.Finally,this paper analyzed packet sampling impact on traffic identification. |
| 索引： |
SCI:WOS:000312929800047 |
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