Methods and systems for location-based authentication using neighboring sensors

• US 10,154,048 B2
• Filed: 03/18/2016
• Issued: 12/11/2018
• Est. Priority Date: 03/18/2016
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Krishnamurthi, Govindarajan, Das, Saumitra Mohan, Gupta, Rajarshi
• Primary Examiner(s): Gracia, Gary S
• Application Number:
  US15/074,745
• Publication Number:
  US 20170272450A1
• Time in Patent Office: 998 Days
• Field of Search: 706 12, 726 23, 726 24, 712 11
• CPC Class Codes: G06F 21/35 communicating wirelessly
• CPC Class Codes: G06F 2221/2111 Location-sensitive, e.g. geographical location, GPS
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: H04L 63/107 wherein the security policies are location-dependent, e.g. entities privileges depend on current location or allowing specific operations only from locally connected terminals
• CPC Class Codes: H04L 63/1416 Event detection, e.g. attack signature detection
• CPC Class Codes: H04L 63/145 the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 4/42 for mass transport vehicles, e.g. buses, trains or aircraft

Abstract

Various embodiments include methods, and computing devices implementing the methods, for authenticating vehicle information by polling selected sensors. A server computing device receiving vehicle information from a reporting vehicle may compare the received vehicle information to contextual information to generate a comparison result, and determine whether the received vehicle information should be evaluated with greater scrutiny based on the comparison result. The server computing device may select sensors for polling based on the received vehicle information (and in response to determining that the received vehicle information should be evaluated with greater scrutiny), and poll the selected sensors to received sensor information. The server computing device may use the received sensor information to corroborate the received vehicle information, and perform a responsive action based on the result of the corroboration.

Claims

1. A method of determining the veracity of vehicle information corresponding to autonomous vehicles, comprising:

determining, via a processor in a server computing device, whether vehicle information received from a reporting vehicle should be evaluated based on a result of comparing the received vehicle information to contextual information, wherein the processor in the server computing device determines whether the vehicle information includes suspicious information that should be evaluated with greater scrutiny, wherein the processor in the server computing device compares the received vehicle information to previous reports from the same vehicle, reports received from other vehicles or information in a road condition database;

in response to determining that the vehicle information includes suspicious information, identifying, by the server computing device, sensors for polling based on the received vehicle information to identify a location of a segment of a road reported as blocked or area near a reported emergency and in response to determining, based on the result of comparing the received vehicle information to the contextual information, that the received vehicle information should be evaluated;

polling, by the server computing device, the identified sensors to receive sensor information; and

verifying, in the server computing device, the received vehicle information based on the received sensor information

in response to determining that the vehicle information has not been successfully verified, the server computing device discarding the vehicle information and determining whether the reporting vehicle has been infected with malware or is experiencing a cyber-attack; and

sending, by the server computing device, a control message to the reporting vehicle that includes information suitable for invoking a malware detection system in the reporting vehicle.

2. The method of claim 1, further comprising determining, in the server computing device, whether to perform a responsive action based on a result of the verification.

3. The method of claim 1, wherein verifying the received vehicle information based on the received sensor information comprises the server computing device comparing the received vehicle information to the received sensor information.

4. The method of claim 1, wherein the received vehicle information based on the received sensor information comprises:

applying, in the server computing device, the received vehicle information to a first behavior model to generate a first value;

applying, in the server computing device, received sensor information to a second behavior model to generate a second value; and

labeling, by the server computing device, the received vehicle information as corroborated in response to determining that a difference between the first value and the second value exceeds a threshold value.

5. The method of claim 1, wherein identifying sensors for polling based on the received vehicle information comprises the server computing device identifying spatially relevant sensors based on location information included in the received vehicle information.

6. The method of claim 1, wherein identifying sensors for polling based on the received vehicle information comprises:

determining, in the server computing device, an applicable location based on the received vehicle information;

identifying, by the server computing device, a vehicle that is in close proximity to the applicable location; and

identifying, by the server computing device, a sensor that is included in the identified vehicle.

7. The method of claim 1, wherein identifying sensors for polling based on the received vehicle information comprises the server computing device identifying a fixed road sensor based on the received vehicle information.

8. The method of claim 1, further comprising:

determining, in the server computing device, a number of sensors that should be polled in order to corroborate the received vehicle information,

wherein identifying sensors for polling based on the received vehicle information comprises selecting the determined number of sensors for polling.

9. The method of claim 1, further comprising:

determining whether the received vehicle information is corroborated by the received sensor information;

storing the received vehicle information in a database in response to determining that the received vehicle information is corroborated by the received sensor information; and

discarding the received vehicle information in response to determining that the received vehicle information is not corroborated by the received sensor information.

10. The method of claim 9, further comprising determining whether the reporting vehicle is infected with malware in response to determining that the received vehicle information is not corroborated by the received sensor information.

11. A server computing device, comprising:

a processor configured with processor-executable instructions to;

determine whether vehicle information received from a reporting vehicle should be evaluated based on a result of a comparison of the received vehicle information to contextual information, wherein the processor determines whether the vehicle information includes suspicious information that should be evaluated with greater scrutiny, wherein the processor compares the received vehicle information to previous reports from the same vehicle, reports received from other vehicles or information in a road condition database;

in response to determining that the vehicle information includes suspicious information, identify sensors for polling based on the received vehicle information to identify a location of a segment of a road reported as blocked or area near a reported emergency and in response to determining, based on the result of the comparison of the received vehicle information to the contextual information, that the received vehicle information should be evaluated;

poll identified sensors to receive sensor information; and

verify the received vehicle information based on the received sensor information in response to determining that the vehicle information has not been successfully verified, discarding the vehicle information and determining whether the reporting vehicle has been infected with malware or is experiencing a cyber-attack; and

sending a control message to the reporting vehicle that includes information suitable for invoking a malware detection system in the reporting vehicle.

12. The server computing device of claim 11, wherein the processor is further configured with processor-executable instructions to determine whether to perform a responsive action based on a result of the verification.

13. The server computing device of claim 11, wherein the processor is further configured with processor-executable instructions to verify the received vehicle information based on the received sensor information by comparing the received vehicle information to the received sensor information.

14. The server computing device of claim 11, wherein the processor is further configured with processor-executable instructions to verify the received vehicle information based on the received sensor information by:

applying the received vehicle information to a first behavior model to generate a first value;

applying received sensor information to a second behavior model to generate a second value; and

labeling the received vehicle information as corroborated in response to determining that a difference between the first value and the second value exceeds a threshold value.

15. The server computing device of claim 11, wherein the processor is further configured with processor-executable instructions to perform identify sensors for polling based on the received vehicle information by identifying spatially relevant sensors based on location information included in the received vehicle information.

16. The server computing device of claim 11, wherein the processor is configured further with processor-executable instructions to identify sensors for polling based on the received vehicle information by:

determining an applicable location based on the received vehicle information;

identifying a vehicle that is in close proximity to the applicable location; and

identifying a sensor that is included in the identified vehicle.

17. The server computing device of claim 11, wherein the processor is configured further with processor-executable instructions to identify sensors for polling based on the received vehicle information by identifying a fixed road sensor based on the received vehicle information.

18. The server computing device of claim 11, wherein:

the processor is further configured with processor-executable instructions to determine a number of sensors that should be polled in order to corroborate the received vehicle information; and

the processor is further configured with processor-executable instructions to identify sensors for polling based on the received vehicle information by selecting the determined number of sensors for polling.

19. The server computing device of claim 11, wherein the processor is further configured with processor-executable instructions to:

determine whether the received vehicle information is corroborated by the received sensor information;

store the received vehicle information in a database in response to determining that the received vehicle information is corroborated by the received sensor information; and

discard the received vehicle information in response to determining that the received vehicle information is not corroborated by the received sensor information.

20. The server computing device of claim 19, wherein the processor is further configured with processor-executable instructions to determine whether the reporting vehicle is infected with malware in response to determining that the received vehicle information is not corroborated by the received sensor information.

21. A non-transitory computer readable storage medium having stored thereon processor-executable software instructions configured to cause a processor in a server computing device to perform operations comprising:

determining whether vehicle information received from a reporting vehicle should be evaluated based on a result of comparing the received vehicle information to contextual information, wherein the processor in the server computing device determines whether the vehicle information includes suspicious information that should be evaluated with greater scrutiny, wherein the processor in the server computing device compares the received vehicle information to previous reports from the same vehicle, reports received from other vehicles or information in a road condition database;

in response to determining that the vehicle information includes suspicious information, identifying sensors for polling based on the received vehicle information to identify a location of a segment of a road reported as blocked or area near a reported emergency and in response to determining that the received vehicle information should be evaluated;

polling identified sensors to receive sensor information; and

verifying the received vehicle information based on the received sensor information,

in response to determining that the vehicle information has not been successfully verified, the server computing device discarding the vehicle information and determining whether the reporting vehicle has been infected with malware or is experiencing a cyber-attack; and

sending, by the server computing device, a control message to the reporting vehicle that includes information suitable for invoking a malware detection system in the reporting vehicle.

22. The non-transitory computer readable storage medium of claim 21, wherein the stored processor-executable software instructions are configured to cause a processor to perform operations further comprising determining whether to perform a responsive action based on a result of the verification.

23. The non-transitory computer readable storage medium of claim 21, wherein the stored processor-executable software instructions are configured to cause a processor to perform operations such that verifying the received vehicle information based on the received sensor information comprises comparing the received vehicle information to the received sensor information.

24. The non-transitory computer readable storage medium of claim 21, wherein the stored processor-executable software instructions are configured to cause a processor to perform operations such that verifying the received vehicle information based on the received sensor information comprises:

applying the received vehicle information to a first behavior model to generate a first value;

applying received sensor information to a second behavior model to generate a second value; and

labeling the received vehicle information as corroborated in response to determining that a difference between the first value and the second value exceeds a threshold value.

25. The non-transitory computer readable storage medium of claim 21, wherein the stored processor-executable software instructions are configured to cause a processor to perform operations such that identifying sensors for polling based on the received vehicle information comprises identifying spatially relevant sensors based on location information included in the received vehicle information.

26. The non-transitory computer readable storage medium of claim 21, wherein the stored processor-executable software instructions are configured to cause a processor to perform operations such that identifying sensors for polling based on the received vehicle information comprises:

determining an applicable location based on the received vehicle information;

identifying a vehicle that is in close proximity to the applicable location; and

identifying a sensor that is included in the identified vehicle.

27. The non-transitory computer readable storage medium of claim 21, wherein the stored processor-executable software instructions are configured to cause a processor to perform operations such that identifying sensors for polling based on the received vehicle information comprises identifying a fixed road sensor based on the received vehicle information.

28. The non-transitory computer readable storage medium of claim 21, wherein:

the stored processor-executable software instructions are configured to cause a processor to perform operations further comprising determining a number of sensors that should be polled in order to verify the received vehicle information; and

the stored processor-executable software instructions are configured to cause a processor to perform operations such that identifying sensors for polling based on the received vehicle information comprises selecting the determined number of sensors for polling.

29. The non-transitory computer readable storage medium of claim 21, wherein the stored processor-executable software instructions are configured to cause a processor to perform operations further comprising:

determining whether the received vehicle information is corroborated by the received sensor information;

storing the received vehicle information in a database in response to determining that the received vehicle information is verified by the received sensor information;

discarding the received vehicle information in response to determining that the received vehicle information is not verified by the received sensor information; and

determining whether the reporting vehicle is infected with malware in response to determining that the received vehicle information is not corroborated by the received sensor information.

30. A server computing device, comprising:

means for determining whether vehicle information received from a reporting vehicle should be evaluated based on a result of comparing the received vehicle information to contextual information, wherein the server computing device determines whether the vehicle information includes suspicious information that should be evaluated with greater scrutiny, wherein the server computing device compares the received vehicle information to previous reports from the same vehicle, reports received from other vehicles or information in a road condition database;

in response to determining that the vehicle information includes suspicious information, means for identifying sensors for polling based on the received vehicle information to identify a location of a segment of a road reported as blocked or area near a reported emergency and in response to determining, based on the result of comparing the received vehicle information to the contextual information, that the received vehicle information should be evaluated;

means for polling identified sensors to receive sensor information;

means for verifying the received vehicle information based on the received sensor information;

in response to determining that the vehicle information has not been successfully verified, means for discarding the vehicle information and means for determining whether the reporting vehicle has been infected with malware or is experiencing a cyber-attack; and

means for sending a control message to the reporting vehicle that includes information suitable for invoking a malware detection system in the reporting vehicle.