Location-spoofing detection system for a network service

Patent metadata

Field	Value
Publication number	US-11777954-B2
Application number	US-202117204506-A
Country	US
Kind code	B2
Filing date	Mar 17, 2021
Priority date	Oct 9, 2018
Publication date	Oct 3, 2023
Grant date	Oct 3, 2023

Abstract

A computing system can receive location data from computing devices of drivers, each of the computing devices operating a designated application associated with an application service. The system can determine a set of locational attributes of a respective driver and determine whether one or more anomalous locational attributes are present in the set of locational attributes of the respective driver. In response to determining that one or more anomalous locational attributes are present, the system can associate a data set with a driver profile of the respective driver.

First claim

What is claimed is:

1. A computing system operating an application service, comprising:
a network communication interface to communicate, over one or more networks, with computing devices of drivers;
one or more processors; and
one or more memory resources storing instructions that, when executed by the one or more processors, cause the computing system to:
receive, over the one or more networks, location data from the computing devices, each of the computing devices operating a designated application associated with the application service;
determine, based at least in part on the location data received from a computing device of a respective driver, a set of locational attributes of the respective driver;
execute a location-based feasibility model to determine that one or more anomalous locational attributes are present in the set of locational attributes of the respective driver, wherein the location-based feasibility model outputs a probability that the respective driver is operating a location-spoofing application;
based at least in part on determining that one or more anomalous locational attributes are present, determine that the computing device of the respective driver is operating a location-spoofing application; and
in response to determining that the computing device of the respective driver is operating a location-spoofing application, associate a data set with a driver profile of the respective driver.

2. The computing system of claim 1 , wherein the set of locational attributes comprises at least one of a position, a velocity, an acceleration, or an elevation of the respective driver.

3. The computing system of claim 1 , wherein the location-spoofing application comprises a third-party global positioning system (GPS) spoofing application.

4. The computing system of claim 1 , wherein the executed instructions cause the computing system to further determine whether the respective driver is operating a location-spoofing application by running the set of locational attributes through a set of computational rules that output a determination of whether the respective driver is operating a location-spoofing application.

5. The computing system of claim 4 , wherein the set of computational rules comprises a point-to-point computation indicating whether a velocity of the respective driver exceeds a feasibility threshold.

6. The computing system of claim 1 , further comprising:
a database storing sets of driving profiles for various road segments of a region;
wherein the executed instructions further cause the computing system to determine whether the respective driver is operating a location-spoofing application by (i) performing a lookup in the database for a matching driving profile corresponding to a road segment traveled by the respective driver as indicated by the location data received from the computing device of the respective driver, and (ii) comparing the set of locational attributes of the respective driver with the matching driving profile.

7. The computing system of claim 6 , wherein each driving profile in the stored sets of driving profiles indicates a minimum feasible time to drive from a start point to an end point of a road segment corresponding to the driving profile.

8. The computing system of claim 1 , wherein associating the data set with the driver profile of the respective driver causes the respective driver to be excluded from matching operations in connection with the application service.

9. The computing system of claim 1 , wherein the executed instructions further cause the computing system to further determine whether the respective driver is operating a location-spoofing application by executing a motion simulation based on the location data received from the computing device of the respective driver.

10. The computing system of claim 1 , wherein the one or more anomalous locational attributes correspond to the respective driver jumping ahead in a queue of drivers awaiting matches with requesting riders.

11. The computing system of claim 1 , wherein the one or more anomalous locational attributes correspond to one or more location points being added by the location-spoofing application to increase distance traveled by the respective driver.

12. The computing system of claim 1 , wherein associating the data set with the driver profile of the respective driver affects a compensation of the respective driver.

13. A non-transitory computer readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:
receive, over one or more networks, location data from computing devices of drivers, each of the computing devices operating a designated application associated with an application service;
determine, based at least in part on the location data received from a computing device of a respective driver, a set of locational attributes of the respective driver;
execute a location-based feasibility model to determine that one or more anomalous locational attributes are present in the set of locational attributes of the respective driver, wherein the one or more anomalous locational attributes correspond to the respective driver jumping ahead in a queue of drivers awaiting matches with requesting riders;
based at least in part on determining that one or more anomalous locational attributes are present, determine that the computing device of the respective driver is operating a location-spoofing application; and
in response to determining that the computing device of the respective driver is operating a location-spoofing application, associate a data set with a driver profile of the respective driver.

14. The non-transitory computer readable medium of claim 13 , wherein the one or more anomalous locational attributes correspond to one or more location points being added by the location-spoofing application to increase distance traveled by the respective driver.

15. The non-transitory computer readable medium of claim 13 , wherein associating the data set with the driver profile of the respective driver affects a compensation of the respective driver.

16. A computer-implemented method of implementing an application service, the method being performed by one or more processors and comprising:
receiving, over one or more networks, location data from computing devices of drivers, each of the computing devices operating a designated application associated with an application service;
determining, based at least in part on the location data received from a computing device of a respective driver, a set of locational attributes of the respective driver;
executing a location-based feasibility model to determining that one or more anomalous locational attributes are present in the set of locational attributes of the respective driver;
based at least in part on determining that one or more anomalous locational attributes are present, determining that the computing device of the respective driver is operating a location-spoofing application; and
in response to determining that the computing device of the respective driver is operating a location-spoofing application, associating a data set with a driver profile of the respective driver;
wherein the one or more processors further determine whether the respective driver is operating a location-spoofing application by executing a motion simulation based on the location data received from the computing device of the respective driver.

Assignees

• Uber Technologies Inc

Inventors

• Yang Sheng
• Huang Ze
• Wang Qiao
• Dytang David Spenser
• Amiri Kiarash
• Mitchell Tara Michelle
• Cai Xiao

Classifications

• H04W4/44

  for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H] · CPC title

• H04W12/63

  Location-dependent; Proximity-dependent · CPC title

• H04W12/12 Primary

  Detection or prevention of fraud · CPC title

• H04L67/52

  specially adapted for the location of the user terminal · CPC title

• H04L67/12

  specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks · CPC title