Abstract: Aspects of the subject disclosure may include, for example, obtaining, from a user device, a master-slave agreement and a first network configuration for a federated blockchain network, transmitting to a cloud service provider (CSP) node the first network configuration, generating first credentials, and transmitting the first credentials to the CSP node. The CSP node configures a first group of blockchain nodes according to the first network configuration and the first credentials. Further embodiments include transmitting the first credentials to a public server that sends it to a public blockchain node and an indication to generate a portion of the federated blockchain network. The public blockchain node configures a second group of blockchain nodes according to a second network configuration based on a public blockchain smart contract. The federated blockchain network comprises the first group of blockchain nodes and the second group of blockchain nodes. Other embodiments are disclosed.

Abstract: A smart communications hub can enable management of driverless and/or autonomous vehicles. Separating current wireless data from driverless vehicle sensor data can allow for quicker resolutions involving driverless vehicles. The smart communications hub can communicate to other groups such as driverless vehicle providers, service providers, vehicle management, law enforcement, etc. The smart communications hub can also process requests from both mobile applications and micro-service applications.

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: 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: A framework for a 6th generation (6G) ubiquitous wireless communications network is provided. The framework includes obtaining first information associated with a first condition of a terrestrial radio network from a terrestrial controller that collects the first information from the terrestrial radio networks; determining second information associated with a resource of a satellite network, where a defined application is alternatively executable at the mobile device via any of a group of networks, the group comprising the satellite network and the terrestrial radio networks, and determining whether to re-assign the defined application from the terrestrial radio network to the satellite network based on a result of evaluating at least the first condition.

Abstract: The described technology is generally directed towards spammer location detection, and in particular, to locating a spammer that makes multiple calls from a given location via a cellular communications network. In some examples, network equipment can obtain call trace records associated with the multiple calls, identify a group of call trace records based on a shared call trace feature, aggregate data from call trace records within the group, and determine an estimated location based on the aggregated data.

Abstract: Aspects of the subject disclosure may include, for example, determining characteristics of autonomous devices, identifying a portion of the autonomous devices having relatable characteristics, and assigning a network to the portion of autonomous devices for enabling communications with the portion of autonomous devices. Other embodiments are disclosed.

Abstract: Systems, methods, and apparatuses provide a scalable framework for analyzing queuing and transient congestion in network switches. The system reports which flows contributed to the queue buildup and enables direct per-packet action in the data plane to prevent transient congestion. The system may be configured to analyze queuing in legacy network switches.

Abstract: Aspects of the subject disclosure may include, for example, determining, an application requirement for a server of a data center geographically separated from a central location. A configuration file adapted for the server according to the application requirement is obtained at the central location and a host processor located at the data center is selected according to the application requirement. A static IP address preassigned to an administrative portion of the selected host processor is identified. The selected host processor is initialized remotely over a wide area network via the administrative port without utilizing any software resources pre-existing at the data center. The initializing configures the selected host processor according to the configuration file to service the application requirement. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may receive a first request to access a content by a first user, identify that the content includes biometric data of a second user in accordance with biometric identification data of the second user, and apply at least one biometric data access rule of a biometric data access permission set to the first request in response to the identifying that the content includes the biometric data of the second user.

Abstract: Dynamic customization of an autonomous vehicle experience is presented herein. A dynamic recommendation engine can comprise a subscriber interface component, a data component, and a configuration component. The subscriber interface component can receive, from a subscriber of an autonomous vehicle service, a request specifying a route of transport by an autonomous vehicle; and based on the request, the data component can obtain, via a network slice comprising a virtual network function of the autonomous vehicle service, profile information for the subscriber and route information for the route. Further, the configuration component can determine, via the network slice based on the profile information and the route information, configuration data for the autonomous vehicle, and send, via the network slice, the configuration data directed to the autonomous vehicle to facilitate the transport by the autonomous vehicle.

Abstract: Aspects of the subject disclosure may include, for example, obtaining, from a network server device, first information regarding a first device, generating a media control package based on the first information, wherein the media control package relates to primary content to be presented, wherein the primary content is associated with a first timestamp that corresponds to a first event or context in the primary content, and wherein the media control package includes a first instruction for controlling the first device when a playback position of the primary content corresponds to the first timestamp, and causing the media control package to be provided to the network server device to enable augmentation of a presentation of the first event or context via control of the first device, in accordance with the first instruction, when the playback position of the primary content corresponds to the first timestamp. Other embodiments are disclosed.

Abstract: A processing system may obtain at least a first data object of a data set and obtain a profile of the at least the first data object, where the profile defines at least one property of the first data object and at least one relationship between the at least the first data object and at least a second data object of the data set. The processing system may then select at least a first component of a visual object for the at least the first data object based upon the at least one property and the at least one relationship, label the at least the first component of the visual object in accordance with the at least the first data object, in response to the selecting, and present the visual object with the at least the first component labeled in accordance with the at least the first data object.

Abstract: Aspects of the subject disclosure may include, for example, a machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations including receiving a first message from a mobile management entity (MME) in a Long-Term Evolution (LTE) network indicating a handover of user equipment (UE) to a fifth generation (5G) network covering a first area in which the UE is located; discovering an access mobility management function (AMF) in the 5G network responsive to the second message; receiving a second message from the AMF indicating a handover of the UE to the LTE network; and discovering a second mobile management entity (MME) in the LTE network covering a second area in which the UE is located. Other embodiments are disclosed.

Abstract: An example method performed by a processing system includes retrieving a digital model of a media element from a database storing a plurality of media elements, wherein the media element is to be inserted into a scene of an audiovisual media, rendering the media element in the scene of the audiovisual media, based on the digital model of the media element and on metadata associated with the digital model to produce a rendered media element, wherein the metadata describes a characteristic of the media element and a limit on the characteristic, and inserting the rendered media element into the scene of the audiovisual media.

Abstract: Techniques are provided that facilitate responding to cyberattacks using counter intelligence (CI) bot technology. In one embodiment, a first system is disclosed that comprises a processor and a memory. The memory can store executable instructions that, when executed by the processor, facilitate performance of operations including receiving a request from a second system requesting assistance in association with a cyberattack on the second system, wherein the request comprises information indicating a type of the cyberattack. The operations further comprise selecting a counter intelligence bot configured to respond to the type of cyberattack, and directing the counter intelligence bot to respond to the cyberattack, wherein the directing comprises enabling the counter intelligence bot to respond to the cyberattack by establishing a gateway with the second system and employing the gateway to intercept and respond to traffic associated with the cyberattack on behalf of the second system.

Abstract: Facilitating metaverse service orchestration and hybrid software defining network control with policy enabled multiple input multiple output in advanced networks is provided herein. Operations of a system include identifying physical resources associated with a physical network and virtual resources associated with a virtual network. The physical resources and the virtual resources are determined to be utilized for fulfillment of a service request. The operations can also include combining the physical resources and the virtual resources into a composition of mixed resources. The composition of mixed resources can include the physical resources and the virtual resources. Further, the operations can include rendering, in a perceivable format, the composition of mixed resources in response to the service request.

Abstract: The disclosed technology is directed towards detecting suspected malicious activity involving mobile devices and subscriber identity module (SIM) cards, including discerning benign SIM swap events from likely malicious SIM swap events. In one example, call detail records, radio access network events and billing events are collected and analyzed to detect subscriber identity module swap events between mobile devices. Based on the collected data and related data sources SIM swap events are classified as benign or suspected malicious classifications. Malicious classifications can result in information representative of the suspected as malicious classification being output, e.g., as a type of fraudulent activity. A confidence level can be associated with classification output data, including for types of fraudulent activities and types of benign activities.

Abstract: Aspects of the subject disclosure may include, for example, a plurality of accounting nodes, each accounting node being associated with a service node of a communication network, each accounting node being configured to collect data usage information for a network segment of the communication network including an associated service node, and an accounting server in data communication with accounting nodes of the plurality of accounting nodes, the accounting server configured to receive from the accounting nodes the data usage information for each service node and determine billing for data usage of each network segment. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, detecting a need to verify an identity of a particular user in the metaverse, obtaining a particular hash/encoding associated with the particular user, wherein the particular hash/encoding is generated based on processing of a video, image, voice recording, or biometric information associated with the particular user, retrieving a second hash/encoding from a user profile of a first user, wherein the second hash/encoding corresponds to a second user and is generated based on processing of a video, image, voice recording, or biometric information associated with the second user, performing a comparison of the second hash/encoding and the particular hash/encoding, and based on a determination that there is a match, identifying that the particular user corresponds to the second user, resulting in a verification of the identity of the particular user. Other embodiments are disclosed.