Title :
Generating Realistic Network Traffic for Security Experiments
Author :
Song Luo ; Marin, G.A.
Author_Institution :
University of Central Florida
Abstract :
This paper reports results of an effort to develop a test environment in which ??live?? attack-free background traffic reflects the characteristics of the network to be defended. The expectation is that new intrusion detection techniques can be better evaluated (and tuned), in such a background, against inserted attacks and no others. Based on analysis of traffic captured from an example network in 2003, we determine models appropriate for the major Internet protocols present and compare these with previously obtained results. We describe the traffic modeling, and we describe an approach for generating realistic attack-free traffic (that is statistically similar to the captured traffic) in a test environment.
Keywords :
Character generation; Force measurement; IP networks; Intrusion detection; Local area networks; Marine technology; Protocols; System testing; Telecommunication traffic; Traffic control;
Conference_Titel :
SoutheastCon, 2004. Proceedings. IEEE
Conference_Location :
Greensboro, North Carolina, USA
Print_ISBN :
0-7803-8368-0
DOI :
10.1109/SECON.2004.1287918