Graph database analysis for network anomaly detection systems
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United States of America
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Dec 28, 2021
Grant Date -
May 7, 2020
app pub date -
Dec 23, 2019
filing date -
Dec 23, 2019
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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.
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