The anomaly detection problem has important applications in the field of fraud detection, network robustness analysis and intrusion detection. This paper is concerned with the prob...
In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDS), that aims at dealing with large scale network attacks featuring variab...
Marek Ostaszewski, Pascal Bouvry, Franciszek Sered...
Pattern matching and analysis over network data streams is increasingly becoming an essential primitive of network monitoring systems. It is a fundamental part of most intrusion d...
A method for anomaly detection is introduced in which "normal" is defined by short-range correlations in a process' system calls. Initial experiments suggest that t...
Stephanie Forrest, Steven A. Hofmeyr, Anil Somayaj...
We address the problem of collecting unique items in a large stream of information in the context of Intrusion Prevention Systems (IPSs). IPSs detect attacks at gigabit speeds and...
Vinh The Lam, Michael Mitzenmacher, George Varghes...