Abstract: Concepts and technologies disclosed herein are directed to a notification traffic anomaly detector. The notification traffic anomaly detector can receive, from a notification system, notification traffic data associated with at least one of notification requests or notifications processed by the notification system. The notification traffic anomaly detector can determine, using at least one machine learning model, whether the notification traffic data indicates an anomaly associated with the notification requests and/or the notifications processed by the notification system. In response to determining that the notification traffic data indicates an anomaly associated with the notification requests and/or the notifications processed by the notification system, the notification traffic anomaly detector can generate an anomaly notification and provide the anomaly notification to the notification system while at least one of notification requests or the notifications is being processed by the notification system.

Abstract: The disclosed technology is directed towards detecting improbable speeds of a mobile device, which can indicate fraudulent activity with respect to the mobile device. Radio access network events and call detail records are processed to determine when a mobile device “travel jumps” between locations at improbable speeds. Events corresponding to handovers between adjacent cells are filtered out. For events corresponding to changed cell towers that are non-adjacent, further processing is performed to determine the speed of the mobile device travel between the cells. A first speed threshold is selected based on possible air travel (a cell near an airport) or a second non-air travel speed threshold is selected. If the speed of the mobile device exceeds the selected speed threshold, a travel jump is determined. Exceptions can be made for gaps in connectivity due to topography (known inconsistent reception areas) and for a mobile device shutting down and restarting.

Abstract: Aspects of the subject disclosure may include, for example, identifying a communication device communicatively coupled to a serving base station, requesting a device type associated with the communication device from the serving base station, and determining the communication device comprises an unmanned aerial vehicle based on the device type. Further embodiments can include obtaining a geolocation of the communication device based on the communication device comprising the unmanned aerial vehicle, generating a customized radio resource control (RRC) reconfiguration message, which includes a reportCGI object that involves setting a discontinuous sleep state timer, which stops the data transmission and reception of the communication device with the serving base station. During this discontinuous sleep state timer, the communication device disconnects to its serving base station to read and decode the ECGI of base station associated with neighboring cells. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, coupling a virtual network function (VNF) to a cloud computing platform, resulting in an instantiation of the VNF with respect to the cloud computing platform, obtaining, based on the coupling, data to operatively interface the VNF and the cloud computing platform, and translating a communication, a message, or a combination thereof, between the VNF and the cloud computing platform using the data. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may obtain network traffic data associated with an independent gateway that is connected to a telecommunication network, apply an input data set associated with the network traffic data of the independent gateway to at least a first detection model implemented by the processing system for detecting fake network usage, and may determine the fake network usage associated with the independent gateway from the input data set associated with the network traffic data of the independent gateway via the at least the first detection model. The processing system may then generate an alert of the fake network usage associated with the independent gateway, where the alert is generated in response to the determining.

Abstract: Facilitating avatar modifications for learning and other videotelephony sessions in advanced networks is provided herein. Operations of a system include evaluating a recorded interaction associated with a first entity during consumption of a first portion of a video conference determined to include the first entity. The operations also can include transforming an actual representation of the first entity in the recorded interaction to an avatar representation, resulting in an edited interaction of the first entity. Further, the operations can include outputting the edited interaction of the first entity for consumption of a second portion of the video conference by rendering the edited interaction for a second entity.

Abstract: Aspects of the subject disclosure may include, for example, registering a mobile device with a mobile communication network as a roaming network, the roaming network communicating with a home network associated with the mobile device to complete the registering, initiating access to a service on the roaming network, retrieving information about access permission status of the service for the mobile device on the roaming network; responsive to the information about access permission status of the service having a value that corresponds to denial of the service on the roaming network because the service is not approved for operation on the roaming network, providing an indication to a user of the mobile device that the service is not available, and suspending further access to the service on the roaming network. Other embodiments are disclosed.

Abstract: Concepts and technologies disclosed herein are directed to embedding texts into high dimensional vectors in natural language processing (“NLP”). According to one aspect, an NLP system can receive an input text that includes n number of words. The NLP system can encode the input text into a first matrix using a word embedding algorithm, such as Word2Vec algorithm. The NLP system can encode the input text into the Word2Vec by embedding each word in the n number of words of the input text into a k-dimensional Word2Vec vector using the Word2Vec algorithm. The NLP system also can decode the first matrix into a second matrix using a text embedding algorithm. In some embodiments, the second matrix is a congruence derivative matrix. The NLP system can then output the second matrix to a machine learning module that implements a machine learning technique such as short text classification.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a selection of at least one network attachment model for instantiating a network service of a network, obtaining a specification of at least one parameter for the network service, generating a design based on the at least one network attachment model and the specification, and instantiating the design in conjunction with at least one resource of the network to facilitate the network service. Other embodiments are disclosed.

Abstract: Authorization for access to an application server and associated communication service can be desirably managed. When a device attempts to access an application server and service, an authorization server generates an encrypted token, comprising device identifier information, and communicates the token to the device. The device communicates the token to the application server. The application server communicates the token to the authorization server. The authorization server determines whether the device is validated to access the application server and service based on the encrypted token, private decryption key, and initialization vector, and based on subscriber-related information. The authorization server does not share the private decryption key or initialization vector with the application server. If validated, the authorization server communicates validation-related information, including a permitted portion of subscriber-related information, to the application server.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first user-generated input, the first user-generated input indicates a request for generating an (API, identifying a first group of entities from the request, and determining whether there is a match between the first group of entities and a second group of entities stored in an API database according to API metadata. Further embodiments include identifying an API from the API database resulting in an identified API, presenting the identified API to the user, obtaining second user-generated input, and adjusting the request according to the second user-generated. Additional embodiments can include identifying a third group of entities from the adjusted request, and determining whether there is a match between the third group of entities and a fourth group of entities stored in the API database according to the API metadata. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to provisioning services from a network. For example, a method described herein can include facilitating receiving a provisioning request for a network provisioning task. Further, the method can include, based on the network provisioning task, selecting a logical provisioning template to facilitate a performance of the network provisioning task. Further, based on the logical provisioning template, the method can include identifying a programming object comprising logical commands for the performance of the network provisioning task. The method can include executing the logical commands of the programming object to control service implementation equipment to perform the network provisioning task.

Abstract: A method includes receiving, by a processing system of a user endpoint device, a network cookie directly from an internet service provider who provides a subscriber who is associated with the user endpoint device with connectivity to the internet, storing, by the processing system, the network cookie in a local memory of the user endpoint device, generating, by the processing system, a request to send to the Internet service provider, wherein the request comprises a request for an internet protocol address associated with a uniform resource locator of an internet content provider, attaching, by the processing system, the network cookie to the request, and sending, by the processing system, the request including the network cookie to the Internet service provider.

Abstract: Aspects of the subject disclosure may include, for example, identifying a first value corresponding to a constraint pertaining to a number of beams, conveying the first value to at least one communication device, and obtaining, based on the conveying, at least one report from the at least one communication device, wherein an at least a second value corresponding to a number of the beams referenced in the at least one report is less than or equal to the first value. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, monitoring a first activity undertaken by a communication device during a first communication session, generating, based on the monitoring, first data that indicates an amount of time that is spent on the first activity, comparing, based on the generating, the first data to a threshold, and identifying, based on at least the comparing, an action to take when the amount of time that is spent on the first activity exceeds the threshold. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example: receiving, from a first mobile communication device of a first user, first information associated with a computer-readable indicia that has been scanned by the first mobile communication device, wherein the computer-readable indicia had been displayed by a second mobile communication device of a second user at a time of being scanned by the first mobile communication device; responsive to receiving of the first information, obtaining from one or more first databases first characterizing data that is descriptive of one or more characteristics of the second user; and sending to the first mobile communication device the first characterizing data, wherein the sending facilitates a presentation by the first mobile communication device of the one or more characteristics of the second user. Other embodiments are disclosed.

Abstract: A method that incorporates the subject disclosure may include, for example, providing a first digital assistant to engage in a first communication exchange with a user of the first communication device where the first digital assistant has a first digital assistant persona that controls information provided by the first digital assistant during communication exchanges, analyzing user input during the first communication exchange, and adjusting the first digital assistant persona based on one or more of the user persona, user deficiency, or promotional offers. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to detecting reflective surfaces for use reflecting a signal from access point equipment to destination equipment in advanced networks, e.g., at least a fifth generation (5G) network. For example, a method described herein can include receiving from access point equipment, characteristic data representative of a characteristic of a beam of reflected light reflected by a reflective surface and detected by the access point equipment. The method can further include, based on the characteristic and a first geographic location of the access point equipment, mapping a second geographic location of the reflective surface. Further, the method can include, storing location information corresponding to the second geographic location of the reflective surface, resulting in a stored surface location.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first group of Internet Protocol (IP) addresses from a group of network devices, and determining a second group of IP addresses from the first group of IP addresses includes possible malicious IP addresses utilizing a machine learning application. Further embodiments can include obtaining a first group of attributes of malicious IP addresses from a first repository, and determining a third group of IP addresses from the second group of IP addresses includes possible malicious IP addresses based on the first group of attributes. Additional embodiments can include receiving user-generated input indicating a fourth group of IP addresses from the third group of IP addresses includes possible malicious IP addresses, and transmitting a notification to a group of communication devices indicating that the fourth group of IP address includes possible malicious IP addresses. Other embodiments are disclosed.

Abstract: Architectures and techniques are presented that provide an improved mechanism for a subscriber entity to report to a network provider a network issue that affects the performance of an application that uses a service provided by the network provider. The improved mechanism can enable fine granularity with respect to the network issue by identifying the issue on a per-session basis. In response to feedback data that is reported by the subscriber entity, the network provider can perform self-healing or other upgrade techniques to rapidly remedy the network issue.