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...
— With the wide deployment of flow monitoring in IP networks, the analysis of the exported flow data has become an important research area. It has been shown that flow data ca...
Many research works address detection and identification of network anomalies using traffic analysis. This paper considers large topologies, such as those of an ISP, with traffic a...
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...