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Influence of network payload and traffic models on the detection performance of AIS

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2 Author(s)
Schaust, S. ; Inst. of Syst. Eng., G.W. Leibniz Univ. of Hannover, Hannover ; Drozda, M.

We investigate the influence of the network traffic payload, using 50 concurrent connections, with a Poisson distributed packet injection model, on the detection performance of our Artificial Immune System (AIS). We compare the detection performance to priorly gained results which were based on a smaller scenario. We conclude that the Poisson traffic model had again no negative impact on the detection performance. We also conclude that a higher network payload has no negative impact on the detection performance. Additionally a statistically significant difference in the detection performance between CBR and Poisson could be observed for a high network payload.

Published in:

Performance Evaluation of Computer and Telecommunication Systems, 2008. SPECTS 2008. International Symposium on

Date of Conference:

16-18 June 2008