Methods and systems for utilizing information collected from multiple sensors to protect a vehicle from malware and attacks
First Claim
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.
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Accused Products
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.
15 Citations
28 Claims
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1. A method of analyzing sensor information to identify an abnormal vehicle behavior, comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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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. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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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:
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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. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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22. A computing device, comprising:
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means for monitoring a plurality of sensors in close proximity to a vehicle to collect sensor information; means for 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; means for analyzing the collected sensor information to generate an analysis result, wherein means for analyzing comprises; means for 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 means for using the generated analysis result to determine whether a behavior of the vehicle is abnormal. - View Dependent Claims (23, 24, 25, 26, 27, 28)
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Specification