Invention Grant
- Patent Title: Graph database analysis for network anomaly detection systems
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Application No.: US15697080Application Date: 2017-09-06
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Publication No.: US10530796B2Publication Date: 2020-01-07
- Inventor: Joshua Patterson , Michael Evan Wendt , Keith Kraus , Louis William DiValentin , Robin Lynn Burkett
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Fish & Richardson P.C.
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06F16/27 ; G06F16/901

Abstract:
Graph database analysis for network anomaly detection systems, in which a data analysis device receives multiple log data entries including parameters associated with a computer network event in a computing network. The data analysis device extracts one or more parameters in real-time and generates a network event graph based on at least one of a first graph metric or a second graph metric. The first and second graph metrics are based on the one or more extracted parameters. The data analysis device detects, based on queries performed on the network event graph, at least one of an anomalous event associated with the computing network or a malicious event associated with the computing network.
Public/Granted literature
- US20180069885A1 GRAPH DATABASE ANALYSIS FOR NETWORK ANOMALY DETECTION SYSTEMS Public/Granted day:2018-03-08
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