System and method for machine learning applied to in-band to out-of-band communications management

    公开(公告)号:US12133171B2

    公开(公告)日:2024-10-29

    申请号:US17189146

    申请日:2021-03-01

    Abstract: An information handling system operating a low power communications engine comprising a wireless adapter for communicating on a low power communication technology network for receiving low power communication technology data traffic for at least one always-on remote management service for the information handling system, a controller receiving a location status of the information handling system via the low power communication technology network indicating a location or network, where the controller executes code instructions for a low power communications engine to assess a location trust level from an environment characteristics analysis engine to determine whether the location status is a trusted zone location or an untrusted zone location utilizing binary classification machine learning based on input variables including data relating to history of activity at the location or on the network learned by the environment characteristics analysis engine from reported operational or network activity, and the controller to trigger an embedded controller to wake a BIOS of the information handling system and forward the incoming low power communication technology data traffic to in-band applications on the information handling system if the information handling system location status is determined to be in one trusted zone location and the controller to ignore the received low power communication technology data traffic if the information handling system location status is in one untrusted zone location.

    Systems and methods for mobile device location prediction

    公开(公告)号:US12133136B2

    公开(公告)日:2024-10-29

    申请号:US18338227

    申请日:2023-06-20

    Applicant: xAd, Inc.

    CPC classification number: H04W4/021 G06N20/00 H04W4/029 H04W4/185

    Abstract: A system coupled to a packet-based network is configured to generate geo-blocks for location-based information services. Each of the geo-blocks corresponds to a geographical region within a geographical area and has at least one border defined by a real-world object. The system is configured to obtain geo data related to real-world objects including transportation routes and natural boundaries in the geographical area, partition the geographical area into initial geo-blocks using the geo data, process a plurality of information requests with respect to at least some of the initial geo-blocks and with respect to initial geo-fences associated with a plurality of points of interests (POIs) to generate entries in one or more databases, and machine train a mobile device location prediction model based on the entries in the one or more databases.

    Geofence tracking with device location privacy

    公开(公告)号:US12127070B2

    公开(公告)日:2024-10-22

    申请号:US17461792

    申请日:2021-08-30

    Inventor: Szymon Ulewicz

    CPC classification number: H04W4/021 H04L9/3242 H04W12/037 H04W12/0431

    Abstract: A system for providing a geofence service is disclosed. The geofence service receives an encrypted geospatial index for a specified geofence based on application of a hash function to respective ones of a plurality of locations for the specified geofence in accordance with a secret key that is unknown to the geofence service. The geofence service stores the encrypted geospatial index to a data store according to a geofence identifier for the specified geofence. The geofence service receives an encrypted device location identifier generated based on application of the hash function to a representation of a current location of a user device in accordance with the secret key. The geofence service determines whether the user device is located in a location of the plurality of locations based on a query of the encrypted geospatial index according to the encrypted device location identifier.

Patent Agency Ranking