Generating Representative Traffic for Intrusion Detection System Benchmarking

Authors:
H. Gunes Kayacik;Nur Zincir-Heywood
Affiliations:
Dalhousie University;Dalhousie University
Venue:
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
Year:
2005

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Abstract

In this paper, a modeling and simulation framework is proposed for generating data for training and testing intrusion detection systems. The framework can develop models of web usage from web server logs in a data driven fashion and the actual traffic is generated by employing the web browser installed on the host. Additionally, we employed an intrusion detection system as a traffic analyzer to validate the synthetic data that the framework generated and compared it against the standard intrusion detection system benchmark data, namely KDD 99 datasets.