COMPUTER NETWORKS RESEARCH LAB

TSP Lab

Department of Electrical and Computer Engineering, McGill University

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References Return to Network Monitoring Projects

[1] A. Lakhina, M. Crovella and C. Diot, Diagnosing network-wide traffic anomalies, in Proc. ACM SIGCOMM, Portland, OR, Aug. 2004.

[2] A. Lakhina, M. Crovella and C. Diot, Mining anomalies using traffic feature distributions, in Proc. ACM SIGCOMM, Philadelphia, PA, Aug. 2005.

[3] Y. Engel, S. Mannor and R. Meir, The kernel recursive least squares algorithm, IEEE Trans. Signal Proc., vol. 52, no. 8, pp 2275--2285, Aug. 2004.

[4] B. Schölkopf and A. Smola, Learning with Kernels, MIT Press: Cambridge, MA, Dec. 2001.

[5] A. Muñoz and J. Moguerza, Estimation of High-Density Regions Using One-Class Neighbor Machines, IEEE Trans. Pattern Anal. Machine Intell., vol. 28, no. 3, pp 476--480, Mar. 2006.

[6] T. Ahmed and M. Coates, Multivariate online anomaly detection using kernel recursive least squares, technical report, Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada, Aug. 2006.