Use of a trained classifier to determine if a pair of wireless scans came from the same location

摘要

The present disclosure describes methods, systems, and apparatuses for determining the likelihood that two wireless scans of a mobile computing device were performed in the same location. The likelihood is determined by scanning for wireless networks with a computing device. The scanning includes a receiving a plurality of network attributes for each wireless networks within the range of the mobile computing device. Further, the likelihood is determined by comparing the plurality of network attributes from the scanning with a reference set of network attributes. The comparing of network attributes is used to determine an attribute comparison. Finally, the likelihood between a position associated with the reference set of network attributes and the computing device, based on the attribute comparison, determines a position associated with the network.

主权项

1. A method comprising:
receiving a location-verification request from a computing device, wherein the location-verification request includes a plurality of network attributes for each of a plurality of wireless networks, wherein the network attributes include data related to the plurality of wireless networks and a unique identification for respective wireless networks of the plurality of wireless networks; comparing the plurality of network attributes with a reference set of network attributes to determine an attribute comparison, wherein the reference set of network attributes comprises data related to a plurality of reference wireless networks and a unique identification for respective reference wireless networks of the plurality of reference wireless networks; determining a likelihood that a position associated with the reference set of network attributes and a position associated with the wireless scan are the same position based on the attribute comparison; and transmitting the likelihood to the computing device.