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System and method of detecting fraudulent user transactions

  • US 10,235,673 B2
  • Filed: 06/08/2016
  • Issued: 03/19/2019
  • Est. Priority Date: 02/18/2016
  • Status: Active Grant
First Claim
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1. A method for detecting fraudulent activity in user transactions, the method comprising:

  • collecting user behavior data specifying the user'"'"'s interaction via an input device with a plurality of groups of elements of a graphical interface of a first application on a computing device for interaction with a remote server;

    calculating, by a processor, an anomalous user behavior coefficient for each of the groups of elements of the graphical interface by applying a simple probabilistic classifier to the collected user behavior data specifying the user'"'"'s interaction with each of the groups of elements of the graphical user interface, wherein the anomalous user behavior coefficient represents a likelihood that the user'"'"'s interaction with the plurality of groups of elements of the graphical interface was imitated by software;

    calculating, by the processor, a combination of the anomalous user behavior coefficients;

    detecting, by the processor, a fraudulent activity when the combination of anomalous user behavior coefficients exceeds a predetermined threshold value;

    in response to detecting a fraudulent activity, blocking, by the processor, the interaction of the user with the remote server; and

    further responsive to detecting the fraudulent activity, determining a second application executing on the computing device based on access by the second application of the user behavior data during the user'"'"'s interaction with the graphical interface, and classifying the second application as malicious.

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