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Dynamic modeling of Internet traffic for intrusion detection

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3 Author(s)
E. Jonckheere ; Univ. of Southern California, Los Angeles, CA, USA ; K. Shah ; S. Bohacek

Computer network traffic is analyzed via state space models and statistical techniques such as linear and nonlinear canonical correlation analyses and mutual information. As an application, the models and the statistical techniques are utilized to detect UDP flooding attacks. This work indicates that mutual information is a powerful tool for the detection of such attacks. Our approach is topology independent and our findings are tested on the so-called dumbbell and parking-lot topologies.

Published in:

Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301)  (Volume:3 )

Date of Conference:

8-10 May 2002