Abstract: Aspects of the subject disclosure may include, for example, a method that includes providing, by a processing system including a processor, a controller function for a user plane function (UPF) of a communication network; the controller function facilitates automated procedures for authentication, deployment, configuration, testing, and/or controlling availability of the UPF, independent of a source of the UPF. The method also includes providing, by the processing system, an interface to facilitate communication between the controller function and the UPF; the controller function uses the interface to facilitate the procedures. Other embodiments are disclosed.

Abstract: Cellular connections can be used to provision non-cellular devices such as internet-of-things (IoT) devices. For example, IoT devices can comprise Bluetooth, Wi-Fi, and cellular capabilities. However, the cellular capability can be used to provision the IoT devices using non-internet protocol data delivery to prevent security vulnerabilities. Data can be transmitted to the IoT device using core elements without using an IP stack. Thus, IoT device configurations and the keys can be provisioned over-the-air without the use of internet protocol data.

Abstract: A flexible service-based architecture (SBA) for next generation communication networks is described. In an embodiment, a method performed by a system comprising a processor comprises receiving a service request for provision of a data communication service to a communication device via a communication network comprising a plurality of different network resources defined by resource components and sub-components of the resource components. In response to receiving the service request, accessing network resource abstraction information that identifies the resource components, and the sub-components respectively associated with the resource components, and selecting a subset of the different network resources for the provision of the data communication service to the communication device based a service criterion associated with the data communication service.

Abstract: The technologies described herein are generally directed to configuring carrier aggregation zones based on transmission information in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include identifying, by carrier aggregation equipment including a processor, carrier transmission information corresponding to a first carrier signal and a second carrier signal. The method can further include analyzing, by the carrier aggregation equipment, the carrier transmission information to determine first overlap zone information representative of a first carrier overlap zone for the first carrier signal and the second carrier signal. Further, based on the first overlap zone information, the method includes facilitating configuring transmission parameter information representative of a transmission parameter applicable to transmission of the first carrier signal, to enable carrier aggregation by network equipment within the first carrier overlap zone.

Abstract: The disclosed technology is directed towards preventing a handover of a Wi-Fi call to a Fifth Generation (5G) standalone cellular network. In one alternative, a 5G standalone usage setting is disabled on a mobile device when Wi-Fi calling is enabled on the mobile device. In another alternative, a 5G standalone usage setting is disabled on a mobile device when Wi-Fi calling is enabled on the mobile device and the mobile device is connected to a Wi-Fi network, which facilitates camping on a 5G standalone network when the mobile device is not connected to a Wi-Fi network. In yet another alternative, a 5G standalone usage setting is disabled on a mobile device when an evolved packet data gateway (ePDG) tunnel is set up on the mobile device, which similarly facilitates camping on a 5G standalone network when the ePDG tunnel is torn down.

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: An example method includes receiving a domain name server (DNS) query initiated by an endpoint device, determining a current port assignment for the endpoint device, changing an allocation of ports for the endpoint device from the current port assignment based on a predicted port allocation need for a current communication session associated with the domain name server query, and performing a network address translation in accordance with the allocation of ports for the endpoint device.

Abstract: Concepts and technologies directed to surrogate metadata aggregation for dynamic content assembly are disclosed. Embodiments can include a system that comprises a processor and a memory that stores computer-executable instructions that configure a processor to perform operations. The operations can include obtaining a first visual content from a digital data store, where the first visual content is configured to digitally represent a first scene. The operations can include performing image recognition on the first visual content so as to identify a second visual content that is digitally configured to represent a second scene. The operations can include determining that native original metadata cannot be obtained for the first visual content, where the native original metadata includes information about the first scene digitally represented by the first visual content.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first value for a first timing advance (TA) parameter associated with a first device, obtaining a second value for a second TA parameter associated with a second device, wherein an identification of the second device is included in a list of equipment that is related to the first device, obtaining a third value for a third TA parameter associated with a third device, wherein an identification of the third device is not included in the list, comparing the first value, the second value, and the third value to one another to determine that the identification of the third device should be added to the list, and adding, based on the comparing, the identification of the third device to the list, resulting in a modified list. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining instructions for implementing a quantum algorithm adapted to obtain a computational result according to a quantum mechanical process. A sequence of quantum operations is generated according to the instructions for implementing the quantum algorithm, wherein the sequence of quantum operations is adapted to physically manipulate a plurality of quantum bits according to the quantum mechanical process. The sequence of quantum operations is provided to a geographically separated quantum central module, via a communication channel, the geographically separated quantum central module implements the quantum mechanical process to obtain a computational result. The computational result is received from the geographically separated quantum central module via the communication channel. Other embodiments are disclosed.

Abstract: Various embodiments disclosed herein provide for facilitating creating a mesh connectivity between network nodes in a hierarchical network. According an embodiment, a method comprising receiving a first condition, wherein the first condition indicates whether to setup a mesh connection with a first distributed unit node of a first node device. The method further comprising, in response to determining that the first condition indicates establishment of the mesh connection, facilitating establishing a peer-to-peer connection directly with the first distributed unit node of the first node device and a second distributed unit node of a second node device, wherein the first distributed unit node comprises wireless communication technologies and the second distributed unit node comprises wireless communication technologies.

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 receiving a query for 5G Session Management Functions (SMFs) to handle a connection request, wherein the query includes a slice ID and data network name; determining a list of SMFs that each have a blockchain ID immutably recorded on a blockchain, wherein the blockchain ID is authorized to provide service to the slice ID; and sending, responsive to the query, the list of SMFs. Other embodiments are disclosed.

Abstract: Improved optical network security (e.g., using a computerized tool) is enabled. Various embodiments herein can send (e.g., via a network) to a group of network devices comprising a first network device and a second network device, a first encrypted data stream, a second encrypted data stream, a first hash code, and a second hash code, wherein the first network device deletes the second encrypted data stream after the first network device hashes the second encrypted data stream, and in response to the second network device being determined not to have received the second hash code within a defined threshold time, determine that the first network device is unauthorized to use the network.

Abstract: Aspects of the subject disclosure may include, for example, performing dynamic beam selection and coordination to support space division multiplexing (SDM) and Full Duplex operation for integrated access and backhaul (IAB) in 5G new radio (NR) networks. The subject disclosure further describes how an IAB node and a serving parent node can coordinate beams used for access and backhaul links dynamically with over-the-air signaling. Other embodiments are described in the subject disclosure.

Abstract: Aspects of the subject disclosure may include, for example, receiving first data at a first rate via a first network connection and receiving second data at a second rate via a second network connection that is different from the first network connection based on the first rate being less than a threshold. Other embodiments are disclosed.

Abstract: Quantum satellite-based global networks are provided. A system as provided herein includes a processor and a memory that stores first executable instructions that, when executed by the processor, facilitate performance of operations, the operations comprising receiving qubits from a quantum sensor device via a quantum communication channel established between the system and the quantum sensor device; providing quantum input data, derived from the qubits, to a quantum machine learning model; and adjusting a property of a communication network based on an output of the quantum machine learning model, produced in response to the providing of the quantum input data, resulting in an increased performance of a mobile application utilizing resources enabled via the communication network.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a message associated with a 5th Generation (5G) wireless service, the message containing: a first section including a service type identifier entry and a first timestamp that corresponds to the service type identifier entry; and a second section including a secondary radio access technology (RAT) entry, one or more data volume entries, and a second timestamp that corresponds to the secondary RAT entry and to the one or more data volume entries; matching the first timestamp and the second timestamp based upon a first value of the first timestamp equaling a second value of the second timestamp; and responsive to the matching of the first timestamp and the second timestamp, associating the service type identifier entry of the first section with the one or more data volume entries of the second section. Other embodiments are disclosed.

Abstract: A method for privacy preserving vulnerability detection for devices. In an example, an apparatus may include a processor and memory coupled with the processor that effectuates operations. The operations may include receiving a type of a device; receiving a feature for the device; creating a first hash value based on the device type and the feature; receiving an indication that the first hash value matches a second hash value; and based on the indication that the first hash value matches the second hash function, sending an alert that the device has a vulnerability.

Abstract: A method for detecting threat pathways using sequence graphs includes constructing a sequence graph from a set of data containing information about activities in a telecommunications service provider network, where the sequence graph represents a subset of the activities that occurs as a sequence, providing an embedding of the sequence graph as input to a machine learning model, wherein the machine learning model has been trained to detect when an input embedding of a sequence graph is likely to indicate a threat activity, determining, based on an output of the machine learning model, whether the subset of the activities is indicative of the threat activity, and initiating a remedial action to mitigate the threat activity.

Abstract: Aspects of the subject disclosure may include, for example, collecting network data for a plurality of cells of a cellular communication network, identifying a particular cell of the plurality of cells is in an un-responsive state, wherein the identifying is based on the network data, selecting a plurality of user equipment (UE) devices as UE test devices, forcing cell reselection attempts, handover attempts, or both, by the UE test devices to communicate with the particular cell, confirming the particular cell is in the un-responsive state based on failure of the cell reselection attempts or failure of the handover attempts, and communicating a restart signal from the processing system to cause the particular cell to restart to a responsive state. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, network deployment or radio-propagation computation based on a combination of photon mapping and machine learning including supporting near-real-time computation of the radio transmissions for different layouts of antennas and allowing examination of a large variety of antenna locations and layouts, changing configuration details, e.g., tilting antennas or optimally selecting the sector that each antenna covers, and so on. Other embodiments are disclosed.

Abstract: Communications services are provided to a device. For instance, where a communications resource is being used by a device via a first communications service provider (CSP) component associated with a first CSP, based on a probabilistic analysis of loading parameters received from a device at the first CSP component. A likelihood that the device will move can be predicted, comprising determining the likelihood is not less than a threshold likelihood. If likely to move, and based on the loading parameters, a loading profile associated with a user of the device is updated resulting in updated likelihoods of usages of the communication resource by the device via respective other CSP components other than the first CSP component. Further, based on the updated likelihoods of usages of the communication resource, at least part of the communications resource can be allocated to the respective other CSP components to facilitate communications with the device.

Abstract: A method and apparatus for creating a custom service in a communication network are disclosed. For example, the method implemented via a processor determines that the custom service does not exist, receives one or more desired functions for the custom service, creates the custom service having the one or more desired functions and modifies one or more network elements within the communication network to perform the one or more desired functions to deploy the custom service.

Abstract: Concepts and technologies disclosed herein are directed to interpretation workflows for machine learning-enabled event tree-based diagnostic and customer problem resolution. According to one aspect, a system can receive a workflow construction specification derived from a machine learning-enabled event tree (“MLET”). The MLET can be generated for use by a customer service agent to resolve a customer problem. The workflow construction specification can include a plurality of objects, each of which represents a navigation path through the MLET. The system can traverse the workflow construction specification and can create a set of workflow creation commands based upon at least one policy. The system can generate a workflow visualization interpretation file based upon the set of workflow creation commands. The workflow visualization interpretation file can identify how the MLET derived a root cause of the customer problem.

Abstract: Dispatch of drones is disclosed. Example drone dispatching methods include transmitting a flight plan for a drone to a flight control platform associated with first operator for piloting the drone. The flight plan is based on a first location associated with a service request. In response to receiving a message from the flight control platform, a first communication session between the flight control platform and a flight control unit of the drone is initiated to permit remote piloting of the drone. A drone observation platform associated with a second operator is selected based on a subject matter qualification associated with the second operator and descriptive information included in the service request. A second communication session between the flight control platform and the drone observation platform is initiated for remote piloting of the drone.

Abstract: A processing system including at least one processor may transmit a notification of a presence of an emergency service vehicle to a plurality of entities, obtain, from at least a first entity of the plurality of entities, at least a first acknowledgement of the presence of the emergency service vehicle, determine that at least a second acknowledgement is not obtained from at least a second entity of the plurality of entities, and present information associated with the at least the second entity to a device of the emergency service vehicle.

Abstract: An architecture to avoid handover ping-pong for aerial user equipment (UE) operational in terrestrial fourth generation (4G) and/or fifth generation (5G) long term evolution (LTE) networks. A method can comprise receiving a request to connect to the network equipment from aerial user equipment; based on the request to connect, retrieving subscription data; based on the subscription data, determining that the aerial user equipment is aerial equipment; determining that the aerial user equipment is engaged in a ping-pong handover event with terrestrial based network equipment situated within a defined geographic area; and transmitting instructions to the aerial user equipment to confirm the ping-pong handover event, wherein the instruction comprises a delay value representing a back off time value for the aerial user equipment to refrain from gathering measurement data within the defined geographic area.

Abstract: Aspects of the subject disclosure may include, for example, detecting, over a network, a call originating from a call originator and intended for a user of a user equipment, responsive to the detecting the call, determining whether to challenge the call originator, based on a determination to challenge the call originator, transmitting a request to the call originator, wherein the request prompts the call originator to specify an identity of the call originator and a purpose for the call, obtaining information from a call originator input responsive to the transmitting the request, deriving enhanced Caller Name or Caller ID data that includes the information, and causing the enhanced Caller Name or Caller ID data to be provided to the user equipment, thereby enabling the user of the user equipment to determine whether to answer the call. Other embodiments are disclosed.

Abstract: A device, method or executable instructions that include receiving, over a network, an authentication request from a user device for performing a function utilizing a first authentication method, obtaining network intelligence data for a mobile network over the network, and identifying a risk for each of multiple authentication methods in response to analyzing device security behavior and the network intelligence data. Further embodiments include identifying a first risk for the first authentication method and identifying a second risk for the function, determining the first risk is higher than the second risk, and identifying a second authentication method that is associated with the second risk. Additional embodiments include notifying the user device of the second risk for the function, and providing a recommendation to the user device to utilize the second authentication method to perform the function. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method including assessing a danger level associated with an object; locating a target person and a caregiver; monitoring movement of an unsupervised target person relative to a boundary around the object; and providing a warning in a caregiver's voice if the person crosses the boundary. A content and volume of the warning, a direction of the warning with respect to a trajectory of movement of the person, and a tone of voice of the warning can be selected according to the danger level and a profile of the person. The method also includes initiating a distraction procedure directed to the person according to the profile; the distraction can include an audio message directing attention of the person to another object. Other embodiments are disclosed.

Abstract: A framework referred to as COmposition fRamework for chaNge management (CORNET) may integrate re-usable abstraction, modular composition with plug-and-play capabilities, or automated translation of high-level change management intent into low-level implementations and mathematical models. CORNET may use real-world data collected from cellular networks (e.g., 4G or 5G) and virtualized services, such as virtual private networks (VPN) and software defined wide area networks (SDWAN) running in the cloud.

Abstract: A processing system including at least one processor may obtain a location of a mobile device and a barometric pressure reading of the mobile device, identify a weather reference area and a ground reference area containing the location, and calculate an elevation of the mobile device from the barometric pressure reading of the mobile device and a barometric pressure metric of a weather reference point of the weather reference area, where the weather reference point has a predetermined elevation. The processing system may then determine a height of the mobile device over a ground level of the location based upon the elevation of the mobile device that is calculated and based upon an elevation of a ground reference area containing the location and provide a report of the location of mobile device including the height of the mobile device over the ground level that is determined.

Abstract: Aspects of the subject disclosure may include, for example, obtaining compressed sounding reference signal (SRS) information associated with a user end device from a distributed unit device. The distributed unit device compresses SRS information utilizing a first compression algorithm resulting in the compressed SRS information. Further embodiments include decompressing the compressed SRS information utilizing a first decompression algorithm resulting in the SRS information and determining SRS channel estimation based on the SRS information. Additional embodiments include determining a group of beamforming weights based on the SRS channel estimation, and adjusting an antenna array according to the group of beamforming weights. Other embodiments are disclosed.

Abstract: Facilitating a group hybrid automatic repeat request procedure for sidelink group-case in advanced networks (e.g., 4G, 5G, 6G, and beyond) is provided herein. Operations of a method can comprise determining, by a first device comprising a processor, that first information received via a sidelink control channel is successfully decoded and that second information received via a sidelink shared channel is not successfully decoded. The first information and the second information can be received from a second device. Further, the method can comprise transmitting, by the first device, negative acknowledgement data based on a group hybrid automatic repeat request feedback procedure. The method also can comprise receiving, by the first device, retransmission of the second information via the sidelink shared channel from a group of devices in response to the negative acknowledgement data.

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: Architectures and techniques are presented that can more efficiently update derived data products in response to updated source data. Source data is typically stored in source tables, whereas a materialized view of a query can generate a derived table based on the state of the source tables at the time the query is executed. When source data changes (e.g., in response to late-arriving input data), rather than recomputing the entire derived table (e.g., by again executing the original query, which can be expensive), an invertible relationship between timestamps can be leveraged to identify only those portions of the derived table that are affected by the update. Therefore, a new defining query can be generated to update only those portions of the derived table that are affected by the source data update.

Abstract: Aspects of the subject disclosure may include, for example, monitoring status of a network configured to provide end-to-end delivery of services to priority user equipment authorized according to a prioritized class of service and other user equipment not authorized for the prioritized class of service. The prioritized class of service extends a reserved network capacity for end-to-end delivery of a service via first domain including first network slices and a second domain including second network slices. A network interruption compromising the reserved capacity is determined based on the monitored status and integration of an alternate group of slices into one of the first network domain, the second network domain, or both to replace the compromised group of slices, is orchestrated. Integration of the alternate group of slices restores reserved network capacity according to the prioritized class of service. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards user equipment geolocation. Network measurement data associated with user equipment can be separated into static periods in which the user equipment was not moving, and moving periods in which the user equipment was moving. Static location processing can be applied to determine static locations from the static period network measurements, and moving location processing can be applied to determine moving locations from the moving period network measurements. Resulting static location information and moving location information can then be merged in order to improve the accuracy of both the static and the moving location information. The enhanced accuracy location information can be stored and used for any desired application.

Abstract: Aspects of the subject disclosure may include, for example, specification of network service functions (e.g., a firewall or network address translation appliance) to be included in a service function path. Routers in a communication network may publish information regarding reachable network service functions and an API may be exposed that provides the information regarding the reachable network service functions. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, generating a set of SRLGs associated with a set of link bundles, wherein the set of SRLGs comprises for each SRLG in the set of SRLGs an indication for each failed link bundle in a particular SRLG a respective bandwidth failure fraction, and wherein for at least one of the failed link bundles the failure is less than a complete failure; generating a set of dominance relationships among the SRLGs in the set of SRLGs, and generating, based at least in part upon the set of SRLGs and the set of dominance relationships a packed set of SRLGs, wherein the packed set of SRLGs comprises a subset of the set of SRLGs. Other embodiments are disclosed.

Abstract: A processing system may apply a binary classifier to detect whether a first data pattern of a first data source associated with a communication network performance indicator is consistent with prior data patterns of the first data source that are labeled as correct data patterns, determine, via the binary classifier, that the first data pattern is not consistent, apply a clustering model to a first input data set comprising the first data pattern and invalid data patterns of the first data source to obtain a first plurality of clusters, verify that the first data pattern is an invalid data pattern when the first plurality of clusters is the same as a second plurality of clusters generated by applying the clustering model to a second input data set comprising the invalid data patterns, and replace the first data source with a replacement data source as an active data source in response.

Abstract: Methods, systems, and apparatuses may provide for the auto-determination of partial usage of a physical environment and use derived intelligence to take various actions. This may allow for partial resulting maintenance of the physical environment based on a single use or use over time.

Abstract: Aspects of the subject disclosure may include, for example, monitoring a network to identify a first amount of traffic in the network, determining, in accordance with the monitoring, that the first amount of traffic in the network exceeds a threshold, and modifying a priority class for a first communication device responsive to the determining that the first amount of traffic in the network exceeds the threshold, wherein the priority class controls access by the first communication device to a resource of the network. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards user equipment geolocation. Network measurement data associated with user equipment can be separated into static periods in which the user equipment was not moving, and moving periods in which the user equipment was moving. Static location processing can be applied to determine static locations from the static period network measurements, and moving location processing can be applied to determine moving locations from the moving period network measurements. Resulting static location information and moving location information can then be merged in order to improve the accuracy of both the static and the moving location information. The enhanced accuracy location information can be stored and used for any desired application.

Abstract: A method performed by a processing system including at least one processor includes monitoring a software repository for code changes, detecting a code change in a software instance that is stored in the software repository, generating a container image of the software instance in response to the detecting, creating a container for the container image, wherein the container encapsulates software needed to run a test suite on the software instance, configuring a testing platform for a development environment used to create the software instance, executing the test suite for the software instance by running the software encapsulated in the container on the testing platform, and publishing a test output of the test suite as a human-readable scorecard for the software instance.

Abstract: Aspects of the subject disclosure may include, for example, collecting information about capabilities of a user equipment (UE) device operating on a radio communication network, collecting information about requirements and status of the UE device, collecting information about the radio communication network, selecting a carrier aggregation arrangement for the UE device based on at least the information about capabilities and the information about requirements and status, forming a selected carrier aggregation arrangement, and configuring network nodes of the radio communication network according to the selected carrier aggregation arrangement. Other embodiments are disclosed.

Abstract: An artificial intelligence (AI) automation to improve network quality based on predicted locations is provided. A method can include training, by a first device comprising a processor and according to model configuration parameters received from a second device that is not the first device, a local machine learning model with training data derived from first location data collected by the first device; transmitting, by the first device to the second device, anonymized model features associated with the local machine learning model; in response to the transmitting of the anonymized model features, receiving, by the first device from the second device, an aggregated machine learning model; and estimating, by the first device, a future position of the first device by applying the aggregated machine learning model to second location data collected by the first device.

Abstract: Aspects of the subject disclosure may include, for example, identifying a coherence time for a user equipment (UE), identifying a coherence bandwidth for the UE, determining a coherence block based on the coherence time and the coherence bandwidth, and, based on a first determination that the coherence block satisfies a threshold, permitting the UE to transmit sounding reference signal (SRS) data over a smaller SRS bandwidth that is smaller than a default SRS bandwidth, at a lower periodicity that is lower than a default periodicity, or a combination thereof, thereby conserving power resources of the UE. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving a plurality of proposed machine learning solutions to a machine learning problem including receiving, for each respective proposed machine learning solution of the plurality of proposed machine learning solutions, one or more of a machine learning model, a dataset and a data pipeline output; automatically determining hybrid solutions to the machine learning problem, including combining, by the processing system, at least one of a first component from a first proposed machine learning solution with at least one of a second component from a second proposed machine learning solution; and ranking the hybrid solutions including determining a log loss score for each hybrid solution and sorting the hybrid solutions according to the log loss score for each hybrid solution. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may obtain, from a device of a requesting entity, a request to verify an identity of a user in a visual feed, obtain the visual feed from an endpoint device associated with the user, the visual feed including first visual biometric data of the user, and extract the first visual biometric data from the visual feed. The processing system may then retrieve second visual biometric data of the user from a plurality of distributed storage nodes, each storing a portion of the second visual biometric data, determine a match between the first visual biometric data and the second visual biometric data, and transmit the visual feed to the device of the requesting entity, where the visual feed includes an indication of an authentication of the user, in response to the determining the match between the first and second visual biometric data.