ONLINE STREAM MINING APPROACH FOR CLUSTERING NETWORK TRAFFIC
Shital A. Salve · International Journal of Research in Engineering and Technology · 2014
A large number of research have been proposed on intrusion detection system, which leads to the implementation of agent based intelligent IDS (IIDS), Nonintelligent IDS (NIDS), signature based IDS etc.While building such IDS models, learning algorithms from flow of network traffic plays crucial role in accuracy of IDS systems.The proposed work focuses on implementing the novel method to cluster network traffic which eliminates the limitations in existing online clustering algorithms and prove the robustness and accuracy over large stream of network traffic arriving at extremely high rate.We compare the existing algorithm with novel methods to analyse the accuracy and complexity.