Malicious threat detection through time series graph analysis
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United States of America
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May 3, 2022
Grant Date -
Mar 5, 2020
app pub date -
Oct 30, 2019
filing date -
Oct 30, 2019
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Abstract
Malicious threat detection through time-series graph analysis, in which a data analysis device receives a data file comprising multiple log data entries. The log data entries include parameters associated with a computer network event in a computing network. The data analysis device produces a graphical model of the computing network based on at least one parameter included in the log data. The data analysis device also identifies a parameter associated with a node of the computer network represented by the graphical model, and performs a time-series analysis on the parameter. The data analysis device further determines, based on the time-series analysis on the parameter, 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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