Abstract: Aspects of the subject disclosure may include, for example, a device comprising: a female port configured to receive a data connector, the data connector comprising a surface with a first opening; a first movable member disposed within the female port, the first movable member being configured such that as the data connector is moved into the female port a first portion of the first movable member enters into the first opening; and a first blocking member disposed within the female port, the first blocking member being configured to move to a first blocking position to block the first portion of the first movable member from exiting the first opening after the first portion of the first movable member has entered the first opening. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, embodiments and a method. The method includes iteratively providing messages to each Node Processor. Each Node Processor represents a node of a group of nodes. The iteratively providing of the messages comprises providing first messages. Each first message includes a cost associated with a path of nodes visited by each first message. A selected path is obtained from each node having a lowest cost of a group of common endpoint costs for paths having common endpoints. A next group of messages includes the selected path. The iteratively providing of the messages results in selected paths. Also, the method include determining a target path from a remaining path. Other embodiments are disclosed.

Abstract: A method for bundling network functions as a single microservice in a cloud environment. A service deployment manager may acquire subscriber location information associated with a subscriber or a subscriber profile associated with the subscriber. Moreover, the service deployment manager may utilize the subscriber location information or the subscriber profile to select a cloud location. For example, the cloud location may be based on load, geographical proximity, service profile, etc.

Abstract: Devices, computer-readable media, and methods for making a cache admission decision regarding a video chunk are described. For instance, a processing system including at least one processor may obtain a request for a first chunk of a first video, determine that the first chunk is not stored in a cache, and apply, in response to the determining that the first chunk is not stored in the cache, a classifier to predict whether the first chunk will be re-requested within a time horizon, where the classifier is trained in accordance with a set of features associated with a plurality of chunks of a plurality of videos. When it is predicted via the classifier that the first chunk will be re-requested within the time horizon, the processing system may store the first chunk in the cache.

Abstract: The concepts and technologies disclosed herein provide a network-assisted secure access (“NASA”) application that is installed on a user device. The NASA application can enhance current multi-factor authentication processes to prevent unauthorized access by leveraging mobile connectivity data. The enhanced two-factor authentication process is made seamless and transparent to the user by authenticating the mobile connectivity data with data known to the mobile network that serves the user device. The mobile connectivity data can include network-determined location, cell identifier (“cell ID”), Internet protocol (“IP”) address, a globally unique temporary identifier (“GUTI”), combinations thereof, and the like. Additionally or alternatively, one or more user profiles (e.g., user-defined and/or social media profile(s)) can be used to further enhance security.

Abstract: Aspects of the subject disclosure may include, for example, a UAV communicatively coupling with a UAV controller over a first network, during a flight of the UAV, detecting availability of a device that is capable of providing network connectivity over a second network, based on the detecting the availability of the device, determining to communicatively couple with the device, responsive to the determining to communicatively couple with the device, submitting a request to the device for the network connectivity, and based on the submitting the request, establishing a communication session with the device to obtain the network connectivity. Other embodiments are disclosed.

Abstract: Concepts and technologies disclosed herein are directed to enhanced smart home services. According to one aspect disclosed herein, a home gateway device can capture, from a home device, home data associated with home user activity conducted via a fixed communications network. The home gateway device can determine, based upon the home data, a home data profile. The home gateway device can receive a mobility data profile determined by a mobility data profiler based upon mobility data associated with mobile user activity conducted via a mobile communications network. The home gateway device can determine, based upon the mobility data profile and the home data profile, a policy for the home device. In some embodiments, the home device is an IoT device. In other embodiments, the home device is a media device such as a television, a video streaming device, a music streaming device, or a video game device.

Abstract: Aspects of the subject disclosure may include, for example, a method, including: receiving, by a processing system including a processor, a request to play content; querying, by the processing system, for matches between the content and a user library; receiving, by the processing system, recommendations for alternate content of the user library and associated cue points in the content; and presenting, by the processing system, portions of the content and presenting other portions of the content replaced with the alternate content at the associated cue points. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, machine learning models that learn reusable contributor embedding models representing contribution impacts. The contribution impacts represent the impact of contributions to media works made by contributors such as writers, directors, producers, actors, or combinations thereof. Machine learning models may then be used to perform contribution predictions from the reusable contributor embedding models. Other embodiments are disclosed.

Abstract: Concepts and technologies are disclosed herein for using user equipment data clusters and spatial temporal graphs of abnormalities for root cause analysis. User equipment data can be obtained from a cellular network. A filter having a threshold can be applied to the user equipment data to obtain records. A determination is made whether the threshold is to be adaptively adjusted. If a determination is made that the threshold is not to be adjusted, the records can be added to a record set. The records in the subset of records can be correlated based on a key to obtain a filtered and correlated version of the record set, a spatial temporal graph of abnormalities associated with the cellular network can be generated based on the filtered and correlated version of the record set, and a root cause of a failure can be determined based on the spatial temporal graph of abnormalities.

Abstract: Aspects of the subject disclosure may include, for example, determining a capability of a mobile device, collecting a mobile station measurement, applying a rule according to the capability and measurement to obtain a radio access network (RAN) recommendation that identifies one of a first or second RANs as a preferred RAN, wherein a service is provided to the device via the preferred RAN. The first RAN comprises a first base station that supports a first exchange of user data and corresponding control signaling to facilitate access to a first set of services. The second RAN comprises a second base station adapted to support a second exchange of user data and a third base station adapted to support a corresponding exchange of control signaling to facilitate access to a second set of services. The second RAN is unable to facilitate access to the first set of services. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first information indicative of data plane utilization, wherein the data plane is associated with a wireless communications network; obtaining second information indicative of control plane utilization, wherein the control plane is associated with the wireless communications network; applying the first information and the second information to one or more machine learning algorithms; and generating via the one or more machine learning algorithms one or more outputs, wherein the one or more outputs indicates whether one or more network resources should be added to improve the data plane utilization. Other embodiments are disclosed.

Abstract: Concepts and technologies are disclosed herein for a virtualization platform for creating, deploying, modifying, and relocating applications. A computing platform can receive a software package including software code from a requestor. The software code can be analyzed to identify functions performed by an application that corresponds to the software code. First and second functions can be virtualized and containerized, and a computing environment that is to host an application including the containers can be identified. Deployment of the application can be triggered.

Abstract: Aspects of the subject disclosure may include, for example, a device with a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of ingesting facilities infrastructure data for more than one facility; training a machine-learning (ML) model from the facilities infrastructure data, wherein the ML model infers features absent in the facilities infrastructure data and yields a score of a facility described by the facilities infrastructure data; receiving a query for a region from a user; identifying one or more facilities provided in the region; generating a map of the one or more facilities using the ML model; and providing a visualization interface to the user including the map and the score of the one or more facilities responsive to the query. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, from a computing device, a user request to perform a subscriber identity module (SIM) swap for a subscriber, wherein the computing device and a user device are accessible to a user, based on the receiving the user request, generating a code for the SIM swap, resulting in a generated code, providing the generated code to the computing device for presentation, obtaining, from the user device, data associated with the user, the user device, or a combination thereof, facilitating user authentication responsive to the obtaining the data, detecting a transmission of a particular code from the user device, resulting in a detected code, and, based on the detecting the transmission and based on the facilitating the user authentication, performing an action relating to the SIM swap. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device, including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of constructing a composite machine-learning (ML) model for facilities infrastructure from facilities infrastructure data; training the composite ML model with historical availability data, historical performance data, and historical error rates, wherein the composite ML model yields quality of the facilities infrastructure; receiving a query of a facility in an area from a user; predicting a quality of the facility based on recent facilities data using the composite ML model; and providing the quality of the facility responsive to the query. Other embodiments are disclosed.

Abstract: A method, system, computer readable storage medium, or apparatus provides for obtaining first information of a user (e.g., a user profile), wherein the user may be associated with a mobile device; based on the first information of the user, determining whether to communicate with the user via local area communication or wide area communication (e.g., a communication context) during a first period; determining to communicate via wide area communication during the first period; based on the determining to communicate via the wide area communication during the first period, sending an alert to invite the user associated with the mobile device to communicate with a remote domain (e.g., a remote physical location, such as a home, business, park, etc.); and based on acceptance of the invite, assigning a token for the user associated with the mobile device to further communicate with the remote domain.

Abstract: A method includes sending a request for services from a Virtual Machine (VM) in an external cloud network to a provider multi-protocol label switching (MPLS) network, establishing a multi-protocol border gateway protocol (MP-BGP) session between the provider MPLS network and the external cloud network, exchanging control plane updates between the provider MPLS network and the cloud network and processing paths between the provider MPLS network and the remote VM.

Abstract: The concepts and technologies disclosed herein are directed to zero day attack detection. A system can monitor, by a sequence manager, a sequence of transaction requests. The sequence manager can determine whether a transaction request in the sequence is anomalous. In response to determining that the transaction request is anomalous, and before the allowing the system to process the transaction request, the sequence manager can provide the sequence of transaction requests to a sequence emulator. The sequence emulator can attempt to verify an output of the sequence of transaction requests. The sequence manager can receive a notification from the sequence emulator. The notification can indicate whether the output of the sequence of transaction requests can be verified. In response, the sequence manager can instruct the system to deny (if the output cannot be verified) or allow (if the output can be verified) processing of the sequence of transaction requests.

Abstract: A system may allow for generic end user mobile devices to be operated using a virtualized personal device framework. The virtualized personal device framework may provide for a collective intelligence network platform that allows offloading of heavy computing processes onto virtual instance in a cloud network and enables crowd sourcing services for smart cities that may provide smart emergency services in which end-users collaborate.