Monitoring SIP Traffic Using Statistical Approaches

DOI

10.2991/emeit.2012.353How to use a DOI?

Keywords

Session Initiation Protocol, Chi-square statistic, Entropy, Traffic monitoring.

Abstract

To monitor Session Initiation protocol (SIP) traffic effectively, a statistical approaches-based traffic monitoring solution is proposed in this paper. According to the process of SIP session, Chi-square statistic is used for monitoring the anomaly of SIP traffic. It classifies the anomaly reason using entropy theory. SIP packets are captured utilizing the kernel SIP packet filtering technology. Experimental result shows that this solution of SIP traffic monitoring is feasible and effective.

Copyright

© 2012, 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  - Hui Cao
AU  - Hui Chao Hou
PY  - 2012/09
DA  - 2012/09
TI  - Monitoring SIP Traffic Using Statistical Approaches
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 1585
EP  - 1588
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.353
DO  - 10.2991/emeit.2012.353
ID  - Cao2012/09
ER  -