Title

Realistic Internet Traffic Simulation Through Mixture Modeling And A Case Study

Abstract

Internet background traffic modeling and simulation is the main challenge when constructing a test environment for network intrusion detection experiments. However, a realistic simulation of network traffic through analytical models is difficult, because the classic distributions are usually ineffective when applied to traffic-related random variables. A modeling and simulation approach using heavytailed mixture distributions is introduced in this paper. In the case study, this approach is used to build analytical models for random variables of several major Internet applications (FTP, HTTP, SMTP, POPS, SSH) of a campus network. Several statistical features of an NS2 simulation are compared against those of the traffic traces being simulated. The comparison indicates that the simulation is statistically similar to the real traffic.

Publication Date

12-1-2005

Publication Title

Proceedings - Winter Simulation Conference

Volume

2005

Number of Pages

2408-2416

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/WSC.2005.1574533

Socpus ID

33846670896 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33846670896

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