While the use of network intrusion detection systems (nIDS) is becoming pervasive, evaluating nIDS performance has been found to be challenging. The goal of this study is to deter...
Spyros Antonatos, Kostas G. Anagnostakis, Evangelo...
As Grids become increasingly relied upon as critical infrastructure, it is imperative to ensure the highly-available and secure day-to-day operation of the Grid infrastructure. The...
Jonathan C. Rowanhill, Glenn S. Wasson, Zach Hill,...
Preserving the availability and integrity of networked computing systems in the face of fast-spreading intrusions requires advances not only in detection algorithms, but also in a...
Saman A. Zonouz, Himanshu Khurana, William H. Sand...
To ameliorate the quality of protection provided by intrusion detection systems (IDS) we strongly need more effective evaluation and testing procedures. Evaluating an IDS against ...
Mohammed S. Gadelrab, Anas Abou El Kalam, Yves Des...
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...