We map intrusion events to known exploits in the network attack graph, and correlate the events through the corresponding attack graph distances. From this, we construct attack sc...
Abstract. Recommender systems face up to current information overload by selecting automatically items that match the personal preferences of each user. The so-called content-based...
While searching the web, the user is often confronted by a great number of results, generally displayed in a list which is sorted according to the relevance of the results. Facing...
Nicolas Bonnel, Vincent Lemaire, Alexandre Cotarma...
One of the primary challenges facing scalable network emulation and simulation is the overhead of storing network-wide routing tables or computing appropriate routes on a per-pack...
Jay Chen, Diwaker Gupta, Kashi Venkatesh Vishwanat...
The Continuously Adaptive Mean Shift Algorithm (CamShift) is an adaptation of the Mean Shift algorithm for object tracking that is intended as a step towards head and face trackin...