Abstract: Aspects of the subject disclosure may include, for example, a device in a messaging core, that includes: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving a short messaging system (SMS) message from an application-to-person (A2P) service to a mobile device of a subscriber; verifying an origin of the SMS message; identifying the SMS message as bearing a one-time passcode (OTP); preventing delivery of the SMS message to a messaging application on the mobile device; and delivering the SMS message to an application running on the mobile device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, from a machine learning model, information about an event causing a service degradation in a cellular network, wherein the event is external to the cellular network, determining one or more event categories associated with the event causing the service degradation, determining, based on the one or more event categories, likely affected customers, the likely affected customers being likely to experience the service degradation, determining, by the machine learning model, proper resources for resolution of the service degradation, wherein the determining proper resources is based on the one or more event categories, and dispatching the proper resources for resolution of the service degradation. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example: obtaining first information identifying a first path between a source node located in a network and a destination node located in the network, wherein the first path comprises a first plurality of nodes including at least one first intermediate node between the source node and the destination node, and wherein the first information comprises first latency information that identifies a first travel latency that exists on the first path between the source node and the destination node; obtaining second information identifying a second path between the source node and the destination node, wherein the second path comprises a second plurality of nodes including at least the source node and the destination node, and wherein the second information comprises second latency information that identifies a second travel latency that exists on the second path between the source node and the destination node; and selecting as a selected path either the first path

Abstract: Aspects of the subject disclosure may include, for example, a non-transitory machine-readable medium comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising: receiving by a selected one of a plurality of containers incoming traffic from a legacy application, the legacy application having been associated with a migrated application prior to the migrated application having been installed on a Software as a Service (SaaS) cloud infrastructure, the incoming traffic comprising a first instruction to perform a first legacy operation; mapping the first legacy operation of the legacy application to a replacement instruction for the migrated application by receiving data from the selected container and assigning the replacement instruction to replace the first instruction; and communicating with the migrated application on the SaaS cloud infrastructure, the communicating comprising sending to the migrated appli

Abstract: A UE can enable a VoWIFI service, receive hidden SSID information, and register with a core network via a RAN. The UE can monitor a first signal strength of a first signal from the RAN. The UE can scan for a second signal from a WLAN, and when found, can measure a second signal strength of the second signal. The UE can determine whether the first signal strength is at or below a first threshold. If so, and if the WLAN is untrusted, the UE can probe it with the hidden SSID information. If the untrusted WLAN responds, the UE can send an access request to an untrusted WLAN access point. The UE can receive, via the untrusted WLAN access point, an authentication challenge from an ePDG. If the UE passes the authentication challenge, the UE can register with the core network via the untrusted WLAN and the ePDG.

Abstract: Various embodiments disclosed herein provide for facilitating scheduling of uplink data using demodulation reference signal and scheduled resources. According to an embodiment, a system can comprise configuring a network device with a periodic rate of specified sounding reference signals with a periodicity using radio resource control signaling. The system can further facilitate estimating channel state information associated with a channel via which the network device communicates. The system can further facilitate transmitting an uplink grant with uplink transmission parameters to set up a physical uplink shared channel, wherein the uplink transmission parameters are determined based on the channel state information. The system can further facilitate estimating scheduling parameters based on a first estimation information associated with the physical uplink shared channel.

Abstract: Aspects of the subject disclosure may include, for example, transmitting a first request that includes a key, wherein the key identifies: a processing system that is a targeted recipient of an advertisement, a stream in which a primary content item is being provisioned to the processing system, and a service provider, based at least in part on the transmitting of the first request, obtaining information pertaining to an advertisement from a device of the service provider, and inserting the information within a portion of the stream corresponding to a break in the primary content item. Other embodiments are disclosed.

Abstract: Concepts and technologies disclosed herein are directed to image classification attack mitigation. According to one aspect of the concepts and technologies disclosed herein, a system can obtain an original image and reduce a resolution of the original image to create a reduced resolution image. The system can classify the reduced resolution image and output a first classification. The system also can classify the original image via deep learning image classification and output a second classification. The system can compare the first classification and the second classification. In response to determining that the first classification and the second classification match, the system can output the second classification of the original image. In response to determining that the first classification and the second classification do not match, the system can output the first classification of the original image.

Abstract: An example method includes monitoring a status of a long term evolution network connection and a status of a fifth generation network connection over which a user endpoint device is simultaneously receiving data using an evolved-universal terrestrial radio access new radio dual connectivity configuration, detecting, based on the monitoring, that a performance metric of one of: the long term evolution network or the fifth generation network falls below a predefined threshold metric, and terminating, in response to the detecting, the long term evolution network connection or the fifth generation network connection to terminate the evolved-universal terrestrial radio access new radio dual connectivity configuration.

Abstract: Aspects of the subject disclosure may include, for example, determining, by a processing system including a processor, that a first resource of a first radio access network is accommodating load in an amount less than a first threshold, resulting in a first determination, determining, by the processing system, that a signal strength of a signal emitted by the first resource is greater than a second threshold, resulting in a second determination, and based on the first determination and the second determination, causing, by the processing system, a voice call initiated by a first user equipment to be supported by the first resource, wherein prior to the causing the first user equipment obtained communication services via a second resource of a second radio access network. Other embodiments are disclosed.

Abstract: Providing and using a user login protection service can include detecting, during a login creation process, input that indicates that a computing device has opted-in for protection for a login being created. During the login creation process, the login can be stored at a first data storage location, the login including an address that identifies a location of a distributed ledger and a password, and a reset password at a second data storage location comprising a secure data storage device. In response to detecting an attempt to log in to the third party device to access the resource, a value associated with the distributed ledger can be obtained, the value indicating a status of a trigger condition associated with the login. If the value is zero, the attempt to log in can be allowed to proceed. If the value is one, the attempt to log in can be blocked.

Abstract: Aspects of the subject disclosure may include, for example, selecting a latency comparison, a throughput comparison, a security comparison, a reliability comparison, movement information or a combination thereof for an end user device executing a communication service according to a service type resulting in a selection criteria, wherein the comparisons are evaluations of each of different available connections; and generating a switching decision by selecting one of the connections. Other embodiments are disclosed.

Abstract: Creating scent models and using scent models in cross-reality environments can include capturing experience data identifying a scent detected and a context in which the scent was detected. The experience data can be provided to a scent modeling service to generate a scent model that can represent perceived scents and perceived scent intensities for a user. The scent model can be used to generate cross-reality session data to be used in a cross-reality session presented by a cross-reality device. The cross-reality device can include a scent generator and can generate the cross-reality session using data obtained from the user device. The cross-reality device can generate a further scent during the cross-reality session based on the scent model.

Abstract: Aspects of the subject disclosure may include, for example, determining that one or more tests are to be executed for a core network of a telecommunications system, based on the determining, transmitting one or more test initiation commands to a set of user equipment (UEs) of a plurality of UEs communicatively coupled to the core network, wherein the one or more test initiation commands cause the set of UEs to execute the one or more tests, obtaining, from the set of UEs, results associated with the one or more tests, analyzing the results based on one or more machine learning (ML) models to identify a network issue, and responsive to the analyzing, performing one or more actions to address the network issue. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining that a network load would consume a first amount of power if supported by a first frequency band of a network, resulting in a first determination, determining that the network load would consume a second amount of power if supported by a second frequency band of the network that is different from the first frequency band, resulting in a second determination, the second amount of power being less than the first amount of power, and based at least on the first determination and the second determination, allocating the network load to the second frequency band. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method including collecting performance data associated with a communication network operating at a venue, providing the performance data for the communication network to a performance map graphical user interface, where the performance map graphical interface presents a plurality of discrete polygons and a plurality of graphical keys, and where the plurality of graphical keys are superimposed onto the plurality of polygons associated with a plurality of zones associated with the venue, detecting a first performance attribute associated with a first zone of the plurality of zones associated with the venue exceeding a threshold according to a first graphical key of the plurality of graphical keys that is superimposed onto a first discrete polygon of the plurality of discrete polygons, and triggering a notification according to the detecting the first performance exceeding the threshold. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, over a communication network, a first message utilizing a first messaging application from a first communication device associated with a first user and identifying a recipient of the first message as a second user associated with a second communication device. Further embodiments can include determining that the second user utilizes a second message application to exchange a first group of messages via the second communication device resulting in a first determination, and transmitting, over the communication network, the first message to the second communication device utilizing the second messaging application based on the first determination. Other embodiments are disclosed.

Abstract: A processing system may maintain a communication graph that includes nodes representing a plurality of phone numbers including a first phone number and edges between the nodes representing a plurality of communications between the plurality of phone numbers and may generate at least one vector via a graph embedding process applied to the communication graph, the at least one vector representing features of at least a portion of the communication graph. The processing system may then apply the at least one vector to a prediction model that is implemented by the processing system and that is configured to predict whether the first phone number is associated with a type of network activity associated with a telecommunication network and may implement a remedial action in response to an output of the prediction model indicating that the first phone number is associated with the type of network activity.

Abstract: Aspects of the subject disclosure may include, for example, a process that formulates an inference that a first group of mobile devices are at ground level, and obtains, for the first group of mobile devices, positions and barometric pressure readings. Ground heights with respect to a common reference height are determined for the first group of mobile devices, and reference barometric pressures are calculated for the first group of mobile devices, at the common reference height according to the barometric pressure readings and the determined ground heights. At least a portion of the reference barometric pressures are combined to obtain a reference barometric pressure. Other embodiments are disclosed.

Abstract: Dynamic shielding of cellular signals for an antenna of an unmanned aerial vehicle is disclosed. An example method may include receiving a navigation route for an unmanned aerial vehicle to execute during flight of the unmanned aerial vehicle and determining an orientation of a radio signal shield for an antenna of the unmanned aerial vehicle using ground level signal propagation information of radio signals for a network and the navigation route, wherein the radio signal shield prevents the radio signals from being received by the antenna from directions based on the orientation. The method may further include adjusting the radio signal shield using the orientation and communicating with a cellular base station of the network using the antenna.