Intrusion detection is a key technology for self-healing systems designed to prevent or manage damage caused by security threats. Protecting web server-based applications using in...
Kenneth L. Ingham, Anil Somayaji, John Burge, Step...
Since current internet threats contain not only malicious codes like Trojan or worms, but also spyware and adware which do not have explicit illegal content, it is necessary to hav...
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...