We present POSEIDON, a new anomaly-based network intrusion detection system. POSEIDON is payload-based, and has a two-tier architecture: the first stage consists of a Self-Organi...
Damiano Bolzoni, Sandro Etalle, Pieter H. Hartel, ...
The current commercial anti-virus software detects a virus only after the virus has appeared and caused damage. Motivated by the standard signature-based technique for detecting v...
Tony Abou-Assaleh, Nick Cercone, Vlado Keselj, Ray...
Discovering interdependencies and causal relationships is one of the most relevant challenges raised by the information era. As more and better data become available, there is an u...
We use automatically extracted acoustic features to detect speech which is generated under stress, achieving 76.24% accuracy with a binary logistic regression. Our data are task-o...
Matthew Frampton, Sandeep Sripada, Ricardo Augusto...
An ever-present problem in intrusion detection technology is how to construct the patterns of (good, bad or anomalous) behaviour upon which an engine have to make decisions regardi...