Abstract: The present disclosure provides measures for analytics control. Such measures exemplarily comprise receiving, from a network entity consuming analytics, an analytics demand including an input data identifier indicative of input data on the basis of which said analytics are to be performed, obtaining the input data based on the input data identifier, performing said analytics on the basis of said input data, and providing, to said network entity consuming analytics, a result of said analytics.

Abstract: Example embodiments of the present disclosure relate to access token revocation in security management. In an example method, in response to providing, to a second device, an access token for the second device to access a NF service from a third device, a first device stores a mapping indicating an association among the access token, the second device and the third device. In response to determining that the second device is abnormal, the first device sends, to at least one target device based on the mapping, an indication of revoking the access token. In this way, at least one target device associated with revoked access token can be informed and potential damage caused by the abnormal NF can be eliminated.

Abstract: Methods, systems, apparatuses, and computer program products are provided for authorized machine learning model retrieval for a communications network. In this regard, an access token request for one or more machine learning models related to a communications network is received from a network function service consumer (NFc). The access token request includes information to identify the one or more machine learning models. The NFc is then authorized with respect to the one or more machine learning models based on the information included in the access token request. Additionally, enhanced an access token for retrieving the one or more machine learning models is provided to the NFc based on valid authorization of the NFc with respect to the one or more machine learning models.

Abstract: Techniques for user consent in a communication network are disclosed. For example, a method comprises receiving, at a network entity of a communication network, a first level user consent for a first level data type for a first level purpose. The method further comprises applying, at the network entity, at least one hierarchical consent policy to the first level user consent to determine whether the first level user consent implies a second level user consent for a second level data type for a second level purpose.

Abstract: Systems, methods, apparatuses, and computer program products for network data analytics profiling for a user equipment (UE) are provided. One method may include obtaining data related to a UE and generating analytics for the UE based on the obtained data, generating a UE analytics profile for the UE using at least one of the obtained data and/or the analytics generated for the UE, and storing the UE analytics profile in a repository. The method may also include receiving, from a network node in the visited network, a request to retrieve the UE analytics profile for the visited network. The method may then include generating the visited network UE analytics profile, and providing the visited network UE analytics profile to the network node in the visited network.

Abstract: Abstract: Systems, methods, apparatuses, and computer program products for supporting user consent management, tracking of user specific data and UE specific data requiring user consent, and distributing information about revocation of the user consent to involved network entities, are provided.

Abstract: Systems, methods, apparatuses, and computer program products for network data analytics function (NWDAF) accuracy enhancement. A method may include selecting a network function that can provide accuracy information. The method may also include sending a request to the network function for one or more accuracy reports for one or more analytics predictions. The method may further include receiving the one or more accuracy reports from the network function. In addition, the method may include managing the one or more analytics predictions based on the one or more accuracy reports.

Abstract: According to an example aspect of the present invention, there is provided a method comprising, determining, by an apparatus configured to operate as a network function a cellular communication system, at least two disjoint network paths, wherein the at least two disjoint network paths are different paths, and comprise different physical resources, transmitting, by the apparatus, a subscription request to an analytics function of the cellular communication system, to request notifications about attacks or risks of attacks on at least one network function on at least one of the at least two disjoint network paths, receiving from the analytics function, by the apparatus, information about at least one compromised network entity and/or at least one network entity having a risk of being compromised on said at least one of the at least two disjoint network paths and performing, by the apparatus, attack mitigation based on said information.

Abstract: A technique comprising: receiving, at a data analytics function of a core network of a mobile communication system, travel path data from a traffic management entity, wherein the travel path data indicates a travel path for a vehicle comprising a user equipment registered to the mobile communication system; receiving, at the data analytics function, location data for the vehicle transmitted by the user equipment; and in response to detecting an inconsistency between the travel path data for the vehicle and the location data for the vehicle transmitted by the user equipment, outputting a travel path deviation report for the traffic management entity.

Abstract: An apparatus for use by a communication network element or communication network function configured to operate as an analytics entity and having an analytics logical function. The apparatus is caused to: receive a request, from a service consumer, for provision of a custom analytics service, process data retrieved from the request for determining whether a model for providing the requested custom analytics service is prepared, and in case the determination is negative, determine and select a model training entity having a model training logical function which is able to create a model for custom analytics and has access to data required for the requested custom analytics service, request, from the selected model training entity, to obtain a trained model capable of providing the requested custom analytics service and forward the information specifying the custom analytics service to the selected model training entity.

Abstract: The disclosure relates to an apparatus comprising at least one processor and at least one memory including computer code for one or more programs, the at least one memory and the computer code configured, with the at least one processor, to cause the apparatus at least to: receive one or more rules for storing data or analytics in a storage; determine a storage approach based on the one or more rules for storing data or analytics in the storage; and track data or analytics in the storage and determine whether to store, update or remove all or a portion of the data or analytics in the storage based on the storage approach.

Abstract: Techniques for detection of abnormal network function service usage in a communication network are disclosed. For example, a method comprises obtaining, at a first network entity, one or more service requests previously received by a second network entity for a service which the second network entity is configured to provide in a communication network. The method further comprises obtaining, at the first network entity, an analysis of the one or more service requests previously received by the second network entity for the service. The method further comprises obtaining, at the first network entity, an expected service usage for the service from the analysis of the one or more service requests. The method may then compare incoming service requests to the expected service usage to detect a given condition, e.g., an abnormal condition, so that at least one action can be taken.

Abstract: There are provided measures for enabling/realizing inference-aware ML (machine learning) model provisioning, e.g. to support network data analytics, in a mobile/wireless communication system. Such measures exemplarily comprise that ML model request information, including model-related information indicating one or more properties of a requested ML model and inference-related information indicating one or more properties of execution of inference based on the requested ML model, is provided from a first network entity (representing a service consumer of a network data analytics service) to a second network entity (representing a service provider of the network data analytics service), the second network entity specifies an ML model to be provisioned based on the ML model request information, and ML model information about the specified ML model is provided from the second network entity to the first network entity.

Abstract: Techniques for data management in a network entity to authorize data consumers in a communication network are disclosed. For example, a method comprises receiving, at a network entity of a communication network, data generated by a data producer in the communication network, and storing, at the network entity, the data generated by the data producer. The stored data has metadata, associated with the data producer, appended thereto.

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising means for receiving from a requesting network function, by a network repository function, an access token request, wherein the access token request is related to a network function consumer requesting access to a service provided by a network function producer and comprises an identity of a vendor of the network function consumer requesting access to the service, means for verifying by the network repository function, based at least on the identity of the vendor of the network function consumer, that the network function consumer is allowed to access the service and means for transmitting to the requesting network function, by the network repository function, an access token upon successful verification, wherein the access token generated and signed by the network repository function comprises the identity of the vendor of the network function consumer and an identity of the vendor of the network function produc

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising means for receiving, by a network function configured to provide centralized user consent authorization in a cellular communication system, a user consent authorization request from a logical network entity, wherein the user consent authorization request comprises an identity of at least one user equipment whose user consent is requested by the logical network entity, the logical network entity being a network function service consumer or an application function, means for retrieving user consent information concerning the at least one user equipment whose user consent is requested by the logical network entity, wherein said user consent information indicates individually whether the logical network entity is authorized to access data related to each of the at least one user equipment, means for determining, based on said user consent information, whether the logical network entity is authorized to access data r

Abstract: A method, apparatus, and computer program product are provided for enhanced data analytics in multiple network data analytics function (NWDAF) deployments in a communications system. A method can include receiving, from a network function consumer, an analytics request, said analytics request comprising analytics identifications and areas of interest; causing determination of data sources in the communications system that are configured to serve a subset of the areas of interest for the analytics identifications. An analytics information request that includes an aggregation-support indication can be sent to data sources to indicate that the data source should return analytics to the central NWDAF and include metadata to support aggregation of analytics by the central NWDAF. A network repository function (NRF) can be caused to determine which of the multiple NWDAFs in the communications system is the central NWDAF based upon whether NWDAFs have aggregation functionality.

Abstract: In a gateway device that is provided between a radio base station and a terminal device of a mobile communication network, the gateway device includes a storage control unit that temporarily stores data sequentially received from the terminal device in a data storage unit, and then transmits the data stored in the data storage unit to an external device connected to the mobile communication network; and a determination unit that determines a real time property of a service in the external device, and selects a method of setting a bearer to the radio base station based on the real time property.

Abstract: A gateway apparatus provided between a radio base station in a mobile communication network and a terminal apparatus, including: notification means configured to notify a proxy apparatus, connected to the mobile communication network as an external apparatus, of information indicating that the gateway apparatus is activated; and storing control means configured to temporarily store data sequentially received from the terminal apparatus in data storage means, and after that, to transmit the data stored in the data storage means to the proxy apparatus.