A Feature Analysis Approach to Network Traffic in Communication Networks
Honghao Zhao, Hongyu Dong, Xiaohui Zhang, Qing Ye, Fanbo Meng, Xinyu Sun, Ying Cao
Available Online October 2016.
- https://doi.org/10.2991/ceie-16.2017.83How to use a DOI?
- Network Traffic; Feature Analysis; Time-Frequency Analysis; Feature Extraction
- Network traffic holds the highlighting dynamic features. How to accurately characterize the hidden properties of network traffic has an important impact on network activities, such as anomaly detection and performance analysis. This paper proposes a feature analysis approach to describe network traffic. Firstly, the wavelet packet transformation is used to extract the multi-scale feature of network traffic. Then the principal component analysis method is exploited to refine the hidden features of network traffic in the time-frequency domain. Finally, to validate our feature analysis method, an anomaly detection test is conducted. Simulation results show that our approach is promising.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Honghao Zhao AU - Hongyu Dong AU - Xiaohui Zhang AU - Qing Ye AU - Fanbo Meng AU - Xinyu Sun AU - Ying Cao PY - 2016/10 DA - 2016/10 TI - A Feature Analysis Approach to Network Traffic in Communication Networks BT - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016) PB - Atlantis Press SP - 648 EP - 655 SN - 2352-5401 UR - https://doi.org/10.2991/ceie-16.2017.83 DO - https://doi.org/10.2991/ceie-16.2017.83 ID - Zhao2016/10 ER -