Real-time network anomaly detection architecture based on frequent pattern mining technique

• Main Authors: Said, A.M., Dominic, D.D., Faye, I.
• Format: Conference or Workshop Item
• Published: 2013
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897877635&doi=10.1109%2fICRIIS.2013.6716742&partnerID=40&md5=a0aef52b5faa06eb7a370b00b534d13c; http://eprints.utp.edu.my/32494/

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 tec...