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PSOM: Periodic Self-Organizing Maps for unsupervised anomaly detection in periodic time series.

, , , , and . IWQoS, page 1-6. IEEE, (2017)

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Android malicious application detection using support vector machine and active learning., , and . CNSM, page 1-9. IEEE Computer Society, (2017)Improving Sybil Detection via Graph Pruning and Regularization Techniques., , , and . ACML, volume 45 of JMLR Workshop and Conference Proceedings, page 189-204. JMLR.org, (2015)Quality of interaction among path computation elements for trust-aware inter-provider cooperation., , , , , and . ICC, page 677-682. IEEE, (2014)RevMatch: An efficient and robust decision model for collaborative malware detection., , and . NOMS, page 1-9. IEEE, (2014)Interconnecting 802.15.4 clusters in slotted CSMA-CA mode., , and . ICC, page 2101-2106. IEEE, (2006)Faster Lanes, Longer Lifetimes: Activity Management in Interconnected 802.15.4 Sensor Clusters., , , and . Mob. Networks Appl., 11 (5): 741-756 (2006)Anomaly Detection Models Based on Context-Aware Sequential Long Short-Term Memory Learning., , , , and . GLOBECOM, page 1-6. IEEE, (2019)A Survey of Android Security Threats and Defenses., and . J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 6 (3): 3-35 (2015)A Collaborative DDoS Defence Framework Using Network Function Virtualization., , and . IEEE Trans. Inf. Forensics Secur., 12 (10): 2483-2497 (2017)Bayesian decision aggregation in collaborative intrusion detection networks., , , and . NOMS, page 349-356. IEEE, (2010)