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US Patent 10009366 Network anomaly detection

Patent 10009366 was granted and assigned to Accenture on June, 2018 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Accenture
Accenture
0
Current Assignee
Accenture
Accenture
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
100093660
Patent Inventor Names
Matthew Carver0
Michael L. Lefebvre0
Walid Negm0
Eric Ellett0
James J. Solderitsch0
Louis William DiValentin0
Date of Patent
June 26, 2018
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Patent Application Number
156479790
Date Filed
July 12, 2017
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Patent Citations Received
‌
US Patent 11468355 Data compression and communication using machine learning
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US Patent 11483342 Utilizing web application firewall and machine learning to detect command and control
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US Patent 10225278 Method of assessing real-time security of sequenced packet exchange (SPX) network connection
Patent Primary Examiner
Jason Lee
Jason Lee
0
Patent abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining network related anomaly scores. One of the methods includes generating a network map including at least a plurality of network nodes and a plurality of edges that indicate communications paths between the plurality of network nodes, obtaining first data indicating network activity over the edges and between the plurality of network nodes for a first time period, generating a model of expected network activity over the edges and between the plurality of network nodes for a future time period using the network map and the first data, obtaining second data indicating network activity over the edges and between the plurality of network nodes for a second time period, and determining an anomaly score using a comparison between the second data and the model of expected network activity.

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