The Stability of the Internet Traffic Features

DOI

10.2991/icemc-16.2016.16How to use a DOI?

Keywords

Taffic feature; Entropy; Stability; Anomaly detection

Abstract

In this paper, we present a statistical analysis of traffic features at the packet level. We show that all traffic features demonstrate similar approximately power-law distribution for different time and interval at minute time scale except for the packet size. We observe that feature entropy and independent feature symbols number for fixed packets number are relatively stable in a short time interval, which is very useful for traffic anomaly detection.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bin Zhang
AU  - Yuandong Mao
AU  - Mei Zhang
AU  - Yun Yu
AU  - Guoquan Jiang
AU  - Bo Deng
PY  - 2016/05
DA  - 2016/05
TI  - The Stability of the Internet Traffic Features
BT  - Proceedings of the 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SP  - 79
EP  - 82
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.16
DO  - 10.2991/icemc-16.2016.16
ID  - Zhang2016/05
ER  -