Detecting anomalous behavior via user authentication graphs

Title: Detecting anomalous behavior via user authentication graphs

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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.

Inventors:: Kent, Alexander D.; Neil, Joshua Charles; Liebrock, Lorie

Issue Date:: 2019-07-16

Research Org.:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1568618

Patent Number(s):: 10356107

Application Number:: 16/014,026

Assignee:: Triad National Security, LLC (Los Alamos, NM); New Mexico Tech Research Park Corporation (Socorro, NM)

Patent Classifications (CPCs):: H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04L - TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION

G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING

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H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04L - TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
H04L67/22 - {Tracking the activity of the user
H04L63/08 - {for supporting authentication of entities communicating through a packet data network
H04L63/1408 - {by monitoring network traffic
H04L63/083 - {using passwords

G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G06F21/316 - {by observing the pattern of computer usage, e.g. typical user behaviour}
G06F21/554 - {involving event detection and direct action}

G - PHYSICS G06 - COMPUTING G06K - RECOGNITION OF DATA
G06K9/6277 - {based on a parametric

G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G06F21/552 - {involving long-term monitoring or reporting}

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DOE Contract Number:: AC52-06NA25396

Resource Type:: Patent

Resource Relation:: Patent File Date: 06/21/2018

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Kent, Alexander D., Neil, Joshua Charles, and Liebrock, Lorie. Detecting anomalous behavior via user authentication graphs.  United States: N. p., 2019. 
        Web.

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                    Kent, Alexander D., Neil, Joshua Charles, & Liebrock, Lorie. Detecting anomalous behavior via user authentication graphs.  United States.

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                    Kent, Alexander D., Neil, Joshua Charles, and Liebrock, Lorie. Tue .  
        "Detecting anomalous behavior via user authentication graphs".  United States.  https://www.osti.gov/servlets/purl/1568618.

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@article{osti_1568618,

  title        = {Detecting anomalous behavior via user authentication graphs},

  author       = {Kent, Alexander D. and Neil, Joshua Charles and Liebrock, Lorie},

  abstractNote = {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.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2019},

  month        = {7}

}

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