We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Our work presents a mechanism designed for the selection of the optimal information provider in a multi-agent, heterogeneous and unsupervised monitoring system. The selfadaptation...
Abstract— In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDIS), that aims at dealing with large scale network attacks feat...
Marek Ostaszewski, Pascal Bouvry, Franciszek Sered...
ABSTRACT Intrusion Detection Systems (IDSs) for Mobile Ad hoc NETworks (MANETs) are indispensable since traditional intrusion prevention based techniques are not strong enough to p...
—One of the central areas in network intrusion detection is how to build effective systems that are able to distinguish normal from intrusive traffic. In this paper we explore t...