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Improving PCA-based anomaly detection by using multiple time scale analysis and Kullback-Leibler divergence., , , , and . Int. J. Commun. Syst., 27 (10): 1731-1751 (2014)A Behavioral Study of TCP Linux Variants over Satellite Networks., , , , and . SAINT, page 474-479. IEEE Computer Society, (2011)Combining wavelet analysis and CUSUM algorithm for network anomaly detection., , , and . ICC, page 1091-1095. IEEE, (2012)Main challenges on WAN due to NFV and SDN: multi-layer and multi-domain network virtualization and routing., , , , , and . ONDM, page 74-79. IEEE, (2015)Combining sketches and wavelet analysis for multi time-scale network anomaly detection., , , and . Comput. Secur., 30 (8): 692-704 (2011)Forecasting the Distribution of Network Traffic for Anomaly Detection., , , and . TrustCom, page 173-180. IEEE Computer Society, (2011)Detecting Heavy Change in the Heavy Hitter distribution of network traffic., , , and . IWCMC, page 1298-1303. IEEE, (2011)A Novel PCA-Based Network Anomaly Detection., , , , and . ICC, page 1-5. IEEE, (2011)The LogLog counting reversible sketch: A distributed architecture for detecting anomalies in backbone networks., , , , and . ICC, page 1287-1291. IEEE, (2012)Topology Design for Service Overlay Networks with Economic and QoS Constraints., , , , and . Networking, volume 5550 of Lecture Notes in Computer Science, page 847-858. Springer, (2009)