Adaptive aberrant network traffic detection algorithm based on time series forecast

[1] Lawrence Ho L, Cavuto D J, Papavassiliou S, et al. Adaptive and automated detection of service anomalies in transaction-oriented WAN’s: Network analysis, algorithms, implementation and deployment[J]．IEEE Journal of Selected Areas in Communications, 2000, l8(5):744-757 [2] Hood C S, Ji C. Beyond thresholds:an alternative method for extracting information from network measures Proceedings of IEEE Globecom Conference. Phoenix:Arizona, 1997:487-49l [3] Brutlag J. Aberrant behavior detection in time series for network monitoring Proceedings of the USENIX Fourteenth System Administration Conference LISA XIV. California: USENIX Assoc, 2000:139-146 [4] Ho L L, Cavuto D J, Papavassiliou S. Adaptive and automated detection of service anomalies in transactionoriented WAN-s: network analysis, algorithms, implementation, and deployment [J]. IEEE Journal of Seletected Areas in Communications, 2000, 18 (5):744-757 [5] Brockwel P J, Davis R A. Introduction to time series and forecasting [M]. New York: Springer, 2002:326-328 [6] Chatfield C, Yark M. The Holt-Winters forecasting: some practical issues [J]. The Statistician, 1988, 37: 129-140 [7] Bermudez J D, Segura J V, Vercher E. Holt-Winters forecasting: an alternative formulation applied to UK air passenger data [J]. Journal of Applied Statistics, 2007, 34(9):1075-1090