Abstract
This article focuses on the application of SARIMA models and Last Absolute Deviation pseudo-estimator in Auto Regression models of network traffic for various types of network protocols in sample computer networks. The models are used to build predicted patterns of traffic.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Skowronski, M., Wezyk, R., Szmit, M.: Detekcja anomalii ruchu sieciowego w programie Snort. Hakin9 3, 64–68 (2007)
Skowronski, M., Wezyk, R., Szmit, M.: Preprocesory detekcji anomalii dla programu Snort. In: Sieci Komputerowe. Aplikacje i zastosowania, vol. 2, pp. 333–338. Wydawnictwa Komunikacji i Lacznosci, Gliwice (2007)
Szmit, M., Szmit, A.: Use of Holt-Winters Method in the Analysis of Network Traffic: Case Study. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2011. CCIS, vol. 160, pp. 224–231. Springer, Heidelberg (2011)
Szmit, M.: Wyuziti nula-jednickovych modelu pro behavioralni analyzu sitoveho provozu. In: Internet, Competitiveness and Organizational Security, TBU Zlin 2011, pp. 266–299 (2011)
Szmit, M., Wezyk, R., Skowronski, M., Szmit, A.: Traffic Anomaly Detection with Snort. In: Information Systems Architecture and Technology. Information Systems and Computer Communication Networks. Wydawnictwo Politechniki Wroclawskiej, Wroclaw (2007)
Brutlag, J.D.: Aberrant Behavior Detection in Time Series for Network Monitoring. In: 14th System Administration Conference Proceedings, New Orleans, pp. 139–146 (2000)
Box, G.E.P., Jenkins, G.M.: Analiza szeregow czasowych. Prognozowanie i sterowanie. PWN, Warszawa (1983)
Klevecka, I.: Forecasting Network Traffic: a Comparison of Neural Networks and Linear Models. In: Proceedings of the 9th International Conference “Reliability and Statistics in Transportation and Communication”, RelStat 2009, Riga, October 21-24 (2009)
Maronna, R., Martin, R.D., Yohai, V.: Robust Statistics – Theory and Methods. Wiley (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Szmit, M., Szmit, A. (2012). Usage of Pseudo-estimator LAD and SARIMA Models for Network Traffic Prediction: Case Studies. In: Kwiecień, A., Gaj, P., Stera, P. (eds) Computer Networks. CN 2012. Communications in Computer and Information Science, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31217-5_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-31217-5_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31216-8
Online ISBN: 978-3-642-31217-5
eBook Packages: Computer ScienceComputer Science (R0)