Telefonaktiebolaget Lm Ericsson (publ)

Javier Campo Trapero

Miguel Angel Muñoz De La Torre Alonso

Miguel Angel Puente Pestaña

Rodrigo Alvarez Dominguez

Franco Foresti

Alberto Del Campo

According to one aspect of the present disclosure, an apparatus for correlating network data analytics, NDA, information for a device group comprising multiple terminal devices is provided, wherein each terminal device is associated with a group member identifier and the device group is associated with a group identifier. The apparatus is adapted to receive an NDA request comprising a group identifier and an NDA specification of NDA information to be collected, to send a group member identifier request comprising the group identifier, and to receive, in response to the group member identifier request, one or more group member identifiers associated with the group identifier. The apparatus is further adapted to configure one or more network functions, NFs, associated with the group member identifiers in accordance with the NDA specification, to obtain, from the one or more NFs, NDA information collected for the group member identifiers based on the NDA specification, and to correlate the NDA information collected for the group member identifiers based on their association with the device group.

Technique for correlating network data analytics information

A method performed by a first node is disclosed herein. The method is for handling data traffic. The first node operates in a communications network. The first node receives an indication from a second node operating in the network. The indication indicates, for a packet forwarding control protocol (PFCP) session, at least one of: i) a first rule for packet detection; and ii) a second rule of enforcement of quality of service. The first node initiates a process of optimization, based on reinforcement learning, of a procedure to control data traffic in the network. The process of optimization is further based on the received indication. A method performed by the second node is also described. The second node receives a first indication from the first node indicating that the first node supports the process of optimization. The second node then sends the indication to the first node.

First node, second node, third node, and methods performed thereby, for handling data traffic

Methods, a user data node (), a policy node (), an application node () and an operator network () for enabling management of an attack towards an application () hosted by the application node () are disclosed. The policy node () receives () attack information and an identifier of the application () to which the attack information applies. The attack information relates to the management of the attack and the attack information comprises a type of attack, a set of detection conditions relating to detection of attacks of the type of attack, and a mitigation action to be invoked when at least one detection condition of the set of detection conditions is fulfilled. In this manner, degeneration of the application () caused by the attacks of the type of attack is mitigatable. The policy node () generates () at least one rule based on the attack information. Moreover, the operator network () transfers (), from the policy node to the user data node (), said at least one rule. The user data node () detects (), in traffic towards the application (), the attack while utilizing said at least one rule. Corresponding computer programs and computer program carriers are also disclosed.

Methods, nodes and operator network for enabling management of an attack towards an application

Methods, a policy node, an application node, a storage node and an operator network for enabling filtering of traffic from an application hosted by the application node are disclosed. The policy node receives, from the application node, application content information relating to the filtering of the traffic and an identifier of the application to which the application content information applies, wherein the application content information comprises an indication relating to application content category of the traffic, and wherein the application content information comprises one or more of an adaptability indicator specifying whether the application is able to adapt the traffic to a given user content category, and a notification indicator specifying whether the application is able to notify, to the policy node, an application content category before providing requested traffic. The policy node further transmits, by the policy node to the storage node, the application content information.

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Madrid, Spain

Javier Campo Trapero