Methods and systems for utilizing information collected from multiple sensors to protect a vehicle from malware and attacks

Patent metadata

Field	Value
Publication number	US-10275955-B2
Application number	US-201615081450-A
Country	US
Kind code	B2
Filing date	Mar 25, 2016
Priority date	Mar 25, 2016
Publication date	Apr 30, 2019
Grant date	Apr 30, 2019

Abstract

Various embodiments include methods, and computing devices implementing the methods, for analyzing sensor information to identify an abnormal vehicle behavior. A computing device may monitor sensors (e.g., a closely-integrated vehicle sensor, a loosely-integrated vehicle sensor, a non-vehicle sensor, etc.) in the vehicle to collect the sensor information, analyze the collected sensor information to generate an analysis result, and use the generated analysis result to determine whether a behavior of the vehicle is abnormal. The computing device may also generate a communication message in response to determining that the behavior of the vehicle is abnormal, and send the generated communication message to an external entity.

First claim

What is claimed is:

1. A method of analyzing sensor information to identify an abnormal vehicle behavior, comprising:
monitoring, via a processor, a plurality of sensors in close proximity to a vehicle to collect sensor information;
activating a monitoring and analysis system to collect and analyze the sensor information from the plurality of sensors, the plurality of sensors including one or more of a closely-integrated vehicle sensor, a loosely-integrated vehicle sensor, or a non-vehicle sensor;
analyzing the collected sensor information to generate an analysis result, wherein the analyzing comprises:
applying a generated behavior vector to a machine learning classifier model to generate the analysis result, wherein the generated behavior vector is based on the collected sensor information; and

using the generated analysis result to determine whether a behavior of the vehicle is abnormal.

2. The method of claim 1 , further comprising:
generating a communication message in response to determining that the behavior of the vehicle is abnormal; and
sending the generated communication message to an external entity.

3. The method of claim 1 , wherein the analyzing the collected sensor information to generate the analysis result further comprises comparing sensor information collected from a mobile device sensor to sensor information collected from a vehicle sensor.

4. The method of claim 1 , wherein the analyzing the collected sensor information to generate the analysis result further comprises comparing sensor information collected from two or more of:
the closely-integrated vehicle sensor;
the loosely-integrated vehicle sensor; or
the non-vehicle sensor.

5. The method of claim 1 , wherein the analyzing the collected sensor information to generate the analysis result further comprises comparing sensor information collected from a first sensor to sensor information collected from a second sensor, wherein the first sensor is different from the second sensor.

6. The method of claim 1 , wherein the processor is a mobile device processor in a mobile device, the method further comprising:
determining by the mobile device processor whether the mobile device is inside the vehicle.

7. The method of claim 1 , wherein the processor is a vehicle processor in the vehicle, the method further comprising:
determining by the vehicle processor whether a mobile device is inside the vehicle;
establishing a communication link to the mobile device in response to determining that the mobile device is inside the vehicle; and
receiving mobile device sensor information via the communication link.

8. A computing device, comprising:
a processor configured with processor-executable instructions to perform operations comprising:
monitoring a plurality of sensors in close proximity to a vehicle to collect sensor information;
activating a monitoring and analysis system to collect and analyze the sensor information from the plurality of sensors, the plurality of sensors including one or more of a closely-integrated vehicle sensor, a loosely-integrated vehicle sensor, or a non-vehicle sensor;
analyzing the collected sensor information to generate an analysis result, wherein the analyzing comprises:
applying a generated behavior vector to a machine learning classifier model to generate the analysis result, wherein the generated behavior vector is based on the collected sensor information; and

using the generated analysis result to determine whether a behavior of the vehicle is abnormal.

9. The computing device of claim 8 , wherein the processor is configured with processor-executable instructions to perform operations further comprising:
generating a communication message in response to determining that the behavior of the vehicle is abnormal; and
sending the generated communication message to an external entity.

10. The computing device of claim 8 , wherein the processor is configured with processor-executable instructions to perform operations such that the analyzing the collected sensor information to generate the analysis result further comprises comparing sensor information collected from a mobile device sensor to sensor information collected from a vehicle sensor.

11. The computing device of claim 8 , wherein the processor is configured with processor-executable instructions to perform operations such that the analyzing the collected sensor information to generate the analysis result further comprises comparing sensor information collected from two or more of:
the closely-integrated vehicle sensor;
the loosely-integrated vehicle sensor; or
the non-vehicle sensor.

12. The computing device of claim 8 , wherein the processor is configured with processor-executable instructions to perform operations such that the analyzing the collected sensor information to generate the analysis result further comprises comparing sensor information collected from a first sensor to sensor information collected from a second sensor, wherein the first sensor is different from the second sensor.

13. The computing device of claim 8 , wherein:
the computing device is a mobile device; and
the processor is configured with processor-executable instructions to perform operations further comprising
determining whether the mobile device is inside the vehicle.

14. The computing device of claim 8 , wherein:
the computing device is embedded in the vehicle; and
the processor is configured with processor-executable instructions to perform operations further comprising:
determining whether a mobile device is inside the vehicle;
establishing a communication link to the mobile device in response to determining that the mobile device is inside the vehicle; and
receiving mobile device sensor information via the communication link.

15. A non-transitory computer readable storage medium having stored thereon processor-executable software instructions configured to cause a computing device processor to perform operations for analyzing sensor information to identify an abnormal vehicle behavior, the operations comprising:
monitoring a plurality of sensors in close proximity to a vehicle to collect the sensor information;
activating a monitoring and analysis system to collect and analyze the sensor information from the plurality of sensors, the plurality of sensors including one or more of a closely-integrated vehicle sensor, a loosely-integrated vehicle sensor, and a non-vehicle sensor;
analyzing the collected sensor information to generate an analysis result, wherein analyzing comprises:
applying a generated behavior vector to a machine learning classifier model to generate an analysis result, wherein the generated behavior vector is based on the collected sensor information; and

using the generated analysis result to determine whether a behavior of the vehicle is abnormal.

16. The non-transitory computer readable storage medium of claim 15 , wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising:
generating a communication message in response to determining that the behavior of the vehicle is abnormal; and
sending the generated communication message to an external entity.

17. The non-transitory computer readable storage medium of claim 15 , wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations such that the analyzing the collected sensor information to generate the analysis result further comprises comparing sensor info

Assignees

• Qualcomm Inc

Inventors

• Gupta Rajarshi
• Das Saumitra Mohan
• Krishnamurthi Govindarajan
• Ahmadzadeh Seyed Ali

Classifications

• H04L63/1408

  by monitoring network traffic (monitoring network traffic per se H04L43/00) · CPC title

• H04W12/12

  Detection or prevention of fraud · CPC title

• G07C5/008 Primary

  communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

• G07C5/0841 Primary

  Registering performance data (recording measured values G01D; information storage G11B) · CPC title

• H04W4/40

  for vehicles, e.g. vehicle-to-pedestrians [V2P] · CPC title