A New Method of Detecting Network Traffic Anomalies
- Jun CAI, WaiXi LIU
- Corresponding Author
- Jun CAI
Available Online March 2013.
- https://doi.org/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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
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 PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.699 DO - https://doi.org/10.2991/iccsee.2013.699 ID - CAI2013/03 ER -