Automated Selection of Inter-Packet Time Models Through Information Criteria

Abstract: A well-known problem of network traffic representation over time is that there is no “one-fits-all” model. The selection of the “best” model is traditionally made in a time-consuming and ad-hoc manner by human experts. In this letter, we evaluate the feasibility of using Bayesian information criterion (BIC) and Akaike information criterion (AIC) as tools for automated selection of the best-fit stochastic process for inter-packet times. We propose and validate a methodology based on information criteria, resulting in an automated and accurate approach for such traffic modelling tasks.

Published in: IEEE Networking Letters ( Volume: 1, Issue: 2, June 2019)

Page(s): 56 - 59

Date of Publication: 15 March 2019

Electronic ISSN: 2576-3156

INSPEC Accession Number: 18708377

DOI: 10.1109/LNET.2019.2905364

Publisher: IEEE

BibTeX:

@ARTICLE{
	8667676,  
	author={Paschoalon, Anderson dos Santos and Rothenberg, Christian Esteve},  
	journal={IEEE Networking Letters},   
	title={Automated Selection of Inter-Packet Time Models Through Information Criteria},   
	year={2019},  
	volume={1},  
	number={2},  
	pages={56-59},  
	doi={10.1109/LNET.2019.2905364}
}