<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Real-time network anomaly detection architecture based on frequent pattern mining technique"^^ . "Online network anomaly-based intrusion detection systems responsible about monitoring the novel anomalies. Network anomaly detection system architecture with a new outlier detection approach is presented in this paper. A new outlierness measurement is proposed which is based on frequent patterns technique and an approach for detecting outliers is introduced. The proposed approach features main advantages which are: effective and direct in detect the anomalous of the online traffic data; adaptive to underlying changes of the traffic streams. The empirical results exhibit a good detection for the new anomalous behavior and the accuracy performance of our proposed approach is approximately close to the static approach. © 2013 IEEE."^^ . "2013" . . . "International Conference on Research and Innovation in Information Systems, ICRIIS"^^ . . . "23248149" . . . . . . . . . . . . . "I."^^ . "Faye"^^ . "I. Faye"^^ . . "D.D."^^ . "Dominic"^^ . "D.D. Dominic"^^ . . "A.M."^^ . "Said"^^ . "A.M. Said"^^ . . . . . "HTML Summary of #3265 \n\nReal-time network anomaly detection architecture based on frequent pattern mining technique\n\n" . "text/html" . .