Abstract. We apply the Unsupervised Niche Clustering (UNC), a genetic niching technique for robust and unsupervised clustering, to the intrusion detection problem. Using the normal...
In this paper we present the design and evaluation of intrusion detection models for MANETs using supervised classification algorithms. Specifically, we evaluate the performance of...
STATL is an extensible state/transition-based attack description language designed to support intrusion detection. The language allows one to describe computer penetrations as seq...
Steve T. Eckmann, Giovanni Vigna, Richard A. Kemme...
Ad hoc routing protocols have been designed to efficiently reroute traffic when confronted with network congestion, faulty nodes, and dynamically changing topologies. The common d...
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliy...