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DOE OSTI · 1459424

Detecting anomalous behavior via user authentication graphs

Kent, Alexander·Neil, Joshua·Liebrock, Lorie
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Abstract

Significant and aggregate user authentication activity may be analyzed across a population of users and computers in one or more networks to differentiate between authorized users and intruders in a network, and/or to detect inappropriate behavior by otherwise authorized users. Dynamic graphs and graph models over user and computer authentication activity, including time-constrained models, may be used for the purposes of profiling and analyzing user behavior in computer networks. More specifically, an edge-based breadth first search of graphs may be used that enforces time-constraints while maintaining traditional breadth first search computational complexity equivalence.

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BibTeXRIS

Kent, Alexander, Neil, Joshua, Liebrock, Lorie. 2018-07-03. Detecting anomalous behavior via user authentication graphs. https://www.osti.gov/biblio/1459424

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