Splunk Inc.
Detecting fraud by correlating user behavior biometrics with other data sources
Last updated:
Abstract:
One embodiment of the present invention sets forth a technique for predicting fraud by correlating user behavior biometric data with one or more other types of data. The technique includes receiving cursor movement data generated via a client device and analyzing the cursor movement data based on a model to generate a result. The model may be generated based on cursor movement data associated with a first group of one or more users. The technique further includes receiving log data generated via the client device and determining, based on the result and the log data, that a user of the client device is not a member of the first group.
Status:
Grant
Type:
Utility
Filling date:
17 Apr 2017
Issue date:
24 Aug 2021