Emilie Purvine, Pacific Northwest National Laboratory
Authors: Emilie Purvine
2022 AWM Research Symposium
Women in Computational Topology

Computer networks operate as complex interconnected systems. Many types of data collected by network sensors can be modeled using a graph or hypergraph. For example, network traffic (commonly called NetFlow) can be modeled as a directed graph, while associations between users and the processes they run can be modeled as a hypergraph. In recent work my team has been studying how different topological measurements and their dynamics can be used to understand these relational structures in order to provide computer network situational awareness. I will report on our theoretical advances as well as provide some concrete examples of analysis on test data sets.

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