Intelligent Methods for Network Security

Today's networked systems face a continuously changing scenario of novel threats and schemes by illegal areas of the hacking community. Security aspects become all the more critical when considering that most large systems and services, especially critical ones, now rely on highly inter-networked infrastructures.

SeaLab's contrbution in this area aims to apply intelligent methods for data mining and scenario interpretation to large-network monitoring processes. The research baseline is that adaptive methods from Computational Intelligence and Statistics can profitably support Network-defense systems with Novelty Detection, Pattern Classification, and modeling of the network activity.

The overall research goals can be summarized as follows: