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Displaying 1-4 out of 4 total
Improving Network Intrusion Detection by Means of Domain-Aware Genetic Programming
Found in: Availability, Reliability and Security, International Conference on
By Jorge Blasco, Agustín Orfila, Arturo Ribagorda
Issue Date:February 2010
pp. 327-332
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 the use of Genetic Programming (GP) for such a purpose. Although GP has already b...
Labelling Clusters in an Intrusion Detection System Using a Combination of Clustering Evaluation Techniques
Found in: Hawaii International Conference on System Sciences
By Slobodan Petrović, Gonzalo Álvarez, Agustín Orfila, Javier Carbó
Issue Date:January 2006
pp. 129b
A new clusters labelling strategy, which combines the computation of the Davies-Bouldin index of the clustering and the centroid diameters of the clusters is proposed for application in anomaly based intrusion detection systems (IDS). The aim of such a str...
A Functional Framework to Evade Network IDS
Found in: Hawaii International Conference on System Sciences
By Sergio Pastrana, Agustin Orfila, Arturo Ribagorda
Issue Date:January 2011
pp. 1-10
Signature based Network Intrusion Detection Systems (NIDS) apply a set of rules to identify hostile traffic in network segments. Currently they are so effective detecting known attacks that hackers seek new techniques to go unnoticed. Some of these techniq...
Key-Recovery Attacks on KIDS, a Keyed Anomaly Detection System
Found in: IEEE Transactions on Dependable and Secure Computing
By Juan E. Tapiador,Agustin Orfila,Arturo Ribagorda,Benjamin Ramos
Issue Date:September 2013
pp. 1
Most anomaly detection systems rely on machine learning algorithms to derive a model of normality that is later used to detect suspicious events. Some works conducted over the last years have pointed out that such algorithms are generally susceptible to de...