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Journal of Computer Networks and Communications
Volume 2012 (2012), Article ID 192913, 5 pages
Research Article

Usage of Modified Holt-Winters Method in the Anomaly Detection of Network Traffic: Case Studies

1Computer Engineering Department, Technical University of Lodz, 18/22 Stefanowskiego Street, 90-924 Lodz, Poland
2Corporate IT Security Agency, Orange Labs Poland, 7 Obrzezna Street, 02-691 Warsaw, Poland
3Department of Management, Technical University of Lodz, 266 Piotrkowska Street, 90-924 Lodz, Poland

Received 25 November 2011; Revised 15 March 2012; Accepted 29 March 2012

Academic Editor: Yueh M. Huang

Copyright © 2012 Maciej Szmit and Anna Szmit. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Pitsanu Tongkhow, and Nantachai Kantanantha, “Bayesian models for time series with covariates, trend, seasonality, autoregression and outliers,” Journal of Computer Science, vol. 9, no. 3, pp. 291–298, 2013. View at Publisher · View at Google Scholar
  • Subutai Ahmad, Alexander Lavin, Scott Purdy, and Zuha Agha, “Unsupervised real-time anomaly detection for streaming data,” Neurocomputing, 2017. View at Publisher · View at Google Scholar