A New Method of Detecting Network Traffic Anomalies
- 10.2991/iccsee.2013.699How to use a DOI?
- Complex networks, Host community, Host community change, Network traffic monitoring, Host interaction network.
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.
- © 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/).
Cite this article
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 -