Patents by Inventor Roger P. Jover

Roger P. Jover has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Malware and anomaly detection via activity recognition based on sensor data
    Patent number: 10516686
    Abstract: A system for malware and anomaly detection via activity recognition based on sensor is disclosed. The system may analyze sensor data collected during a selected time period from one or more sensors that are associated with a device. Once the sensor data is analyzed, the system may determine a context of the device when the device is in a connected state. The system may determine the context of the device based on the sensor data collected during the selected time period. The system may also determine if traffic received or transmitted by the device during the connected state is in a white list. Furthermore, the system may transmit an alert if the traffic is determined to not be in the white list or if the context determined for the device indicates that the context does not correlate with the traffic.
    Type: Grant
    Filed: June 12, 2017
    Date of Patent: December 24, 2019
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Roger P. Jover, Ilona Murynets
  • MALWARE AND ANOMALY DETECTION VIA ACTIVITY RECOGNITION BASED ON SENSOR DATA
    Publication number: 20170279842
    Abstract: A system for malware and anomaly detection via activity recognition based on sensor is disclosed. The system may analyze sensor data collected during a selected time period from one or more sensors that are associated with a device. Once the sensor data is analyzed, the system may determine a context of the device when the device is in a connected state. The system may determine the context of the device based on the sensor data collected during the selected time period. The system may also determine if traffic received or transmitted by the device during the connected state is in a white list. Furthermore, the system may transmit an alert if the traffic is determined to not be in the white list or if the context determined for the device indicates that the context does not correlate with the traffic.
    Type: Application
    Filed: June 12, 2017
    Publication date: September 28, 2017
    Inventors: Roger P. Jover, Ilona Murynets
  • Malware and anomaly detection via activity recognition based on sensor data
    Patent number: 9680854
    Abstract: A system for malware and anomaly detection via activity recognition based on sensor is disclosed. The system may analyze sensor data collected during a selected time period from one or more sensors that are associated with a device. Once the sensor data is analyzed, the system may determine a context of the device when the device is in a connected state. The system may determine the context of the device based on the sensor data collected during the selected time period. The system may also determine if traffic received or transmitted by the device during the connected state is in a white list. Furthermore, the system may transmit an alert if the traffic is determined to not be in the white list or if the context determined for the device indicates that the context does not correlate with the traffic.
    Type: Grant
    Filed: April 18, 2016
    Date of Patent: June 13, 2017
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Roger P. Jover, Ilona Murynets
  • MALWARE AND ANOMALY DETECTION VIA ACTIVITY RECOGNITION BASED ON SENSOR DATA
    Publication number: 20160234235
    Abstract: A system for malware and anomaly detection via activity recognition based on sensor is disclosed. The system may analyze sensor data collected during a selected time period from one or more sensors that are associated with a device. Once the sensor data is analyzed, the system may determine a context of the device when the device is in a connected state. The system may determine the context of the device based on the sensor data collected during the selected time period. The system may also determine if traffic received or transmitted by the device during the connected state is in a white list. Furthermore, the system may transmit an alert if the traffic is determined to not be in the white list or if the context determined for the device indicates that the context does not correlate with the traffic.
    Type: Application
    Filed: April 18, 2016
    Publication date: August 11, 2016
    Inventors: Roger P. Jover, Ilona Murynets
  • Malware and anomaly detection via activity recognition based on sensor data
    Patent number: 9319423
    Abstract: A system for malware and anomaly detection via activity recognition based on sensor is disclosed. The system may analyze sensor data collected during a selected time period from one or more sensors that are associated with a device. Once the sensor data is analyzed, the system may determine a context of the device when the device is in a connected state. The system may determine the context of the device based on the sensor data collected during the selected time period. The system may also determine if traffic received or transmitted by the device during the connected state is in a white list. Furthermore, the system may transmit an alert if the traffic is determined to not be in the white list or if the context determined for the device indicates that the context does not correlate with the traffic.
    Type: Grant
    Filed: November 4, 2013
    Date of Patent: April 19, 2016
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Roger P. Jover, Ilona Murynets
  • Malware And Anomaly Detection Via Activity Recognition Based On Sensor Data
    Publication number: 20150128265
    Abstract: A system for malware and anomaly detection via activity recognition based on sensor is disclosed. The system may analyze sensor data collected during a selected time period from one or more sensors that are associated with a device. Once the sensor data is analyzed, the system may determine a context of the device when the device is in a connected state. The system may determine the context of the device based on the sensor data collected during the selected time period. The system may also determine if traffic received or transmitted by the device during the connected state is in a white list. Furthermore, the system may transmit an alert if the traffic is determined to not be in the white list or if the context determined for the device indicates that the context does not correlate with the traffic.
    Type: Application
    Filed: November 4, 2013
    Publication date: May 7, 2015
    Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.
    Inventors: Roger P. Jover, Ilona Murynets