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Real-time, location-aware mobile device data breach prevention

  • US 10,425,771 B2
  • Filed: 11/29/2018
  • Issued: 09/24/2019
  • Est. Priority Date: 07/10/2017
  • Status: Active Grant
First Claim
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1. A method comprising:

  • receiving, by a computer system, as input to a recurrent neural network, a matrix of a plurality of regular locations and usage for a user at a plurality of times as reported by one or more mobile devices for the user via a network;

    applying, by the computer system, the matrix in the recurrent neural network to predict one or more next device locations for a next step in time, each of the one or more next device locations weighted with a separate probability; and

    generating, by the computer system, by the recurrent neural network, an alert in response to one or more selected location and selected usage weighted with the highest probability deviating from a current location of the one or more mobile devices beyond a threshold specified by the user.

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