Paul M. Weber

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Our analytics challenge is is to identify, characterize, and visualize anomalous subsets of large collections of network connection data. We use a combination of HPC resources, advanced algorithms, and visualization techniques. To effectively and efficiently identify the salient portions of the data, we rely on a multi-stage workflow that includes data(More)
— In this paper we present our immersive network monitoring system that is used for real-time and retrospective analysis of network traffic. Our 3-D representations are designed from the perspective of monitoring traffic at an administrative boundary between the Internet and an internal network. In our virtual environment, a physical boundary and defended(More)
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