The environment around us is progressively equipped with various sensors, producing data continuously. The applications using these data face many challenges, such as data stream i...
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
Oliver Niggemann, Benno Stein, Asmir Vodencarevic,...
In this paper, we propose examining the participants in various meetings or communications within a social network, and using sequential inference based on these participant lists...
Detecting massive network events like worm outbreaks in fast IP networks, such as Internet backbones, is hard. One problem is that the amount of traffic data does not allow real-t...
In this paper, the problem of discovering anomalies in a large-scale network based on the data fusion of heterogeneous monitors is considered. We present a classification of anoma...