A New Method of Detecting Network Traffic Anomalies

DOI

10.2991/iccsee.2013.699How to use a DOI?

Keywords

Complex networks, Host community, Host community change, Network traffic monitoring, Host interaction network.

Abstract

As Internet communications and applications become more and more complex, accurately describing network traffic information and rapidly monitoring network traffic anomalies have become increasingly challenging tasks. In this paper, we present a framework and method for monitoring network traffic through measuring the dynamic changes of host communities. An unweighted and undirected host interaction network (HIN) is established through extracting the social-behavioral characteristics of network traffic. Based on social-behavior similarity in HIN, host community is defined, and then five features are proposed to capture host community changes. Finally, this method is evaluated through two real-world network traffic, and the experimental results show that the method presented in this paper can effectively capture the dynamic changes of host communities to monitor network traffic.

Copyright

© 2013, 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  - Jun CAI
AU  - WaiXi LIU
PY  - 2013/03
DA  - 2013/03
TI  - A New Method of Detecting Network Traffic Anomalies
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2800
EP  - 2803
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.699
DO  - 10.2991/iccsee.2013.699
ID  - CAI2013/03
ER  -