A method for identifying a fraudulent phone number is provided. The method includes receiving a user report dataset indicating fraudulent activity corresponding to a phone number, and responsive to receiving the user report dataset, identifying a record in a database corresponding to the phone number. The method further includes tagging the record to identify the phone number as being associated with fraudulent activity.

A method for identifying a fraudulent phone number is provided. The method includes receiving a user report dataset indicating fraudulent activity corresponding to a phone number, and responsive to receiving the user report dataset, identifying a record in a database corresponding to the phone number. The method further includes tagging the record to identify the phone number as being associated with fraudulent activity.

A method for predicting fraudulent call activity is provided. The method includes receiving one or more datasets indicating call activity corresponding to a phone number, and analyzing the one or more datasets to identify unusual call activity. The method further includes generating a fraud prediction, based at least in part on the identified unusual call activity, that the phone number will be used for fraud.

A method for predicting fraudulent call activity is provided. The method includes receiving one or more datasets indicating call activity corresponding to a phone number, and analyzing the one or more datasets to identify unusual call activity. The method further includes generating a fraud prediction, based at least in part on the identified unusual call activity, that the phone number will be used for fraud.

A method for managing an application exchange platform includes receiving, from a developer, a service function, wherein the service function includes configuration details for an application available through an online application exchange. The method includes deploying the service function in the application exchange, identifying a first domain event requesting access to the service function from a user, and calling the service function in the online application exchange, in response to the first domain event. The method also includes recording a metric associate with the service function and a return parameter, emitting a second domain event indicative of a completion of the service function, and charging, with a billing tool, an appropriate party based on a usage metadata for the service function. A system and a non-transitory, computer-readable memory storing instructions to cause the system to perform the above method are also provided.

Methods and apparatuses for data transmission. A method implemented at a first network function may comprise obtaining information related to network slice selection; and sending a reroute message to an access network node, wherein the reroute message including a container comprising at least one information element of the information related to network slicing selection.

A method including: receiving a user report dataset indicating fraudulent activity corresponding to a phone number; responsive to receiving the user report dataset, identifying a record in a database corresponding to the phone number; and tagging the record to identify the phone number as being associated with fraudulent activity.

A method including: receiving a user report dataset indicating fraudulent activity corresponding to a phone number; responsive to receiving the user report dataset, identifying a record in a database corresponding to the phone number; and tagging the record to identify the phone number as being associated with fraudulent activity.

Methods and apparatuses for data transmission. A method implemented at a first network function may comprise obtaining information related to network slice selection; and sending a reroute message to an access network node, wherein the reroute message including a container comprising at least one information element of the information related to network slicing selection.

A method including: receiving one or more datasets indicating call activity corresponding to a phone number; analyzing the one or more datasets to identify unusual call activity; and generating a fraud prediction, based at least in part on the identified unusual call activity, that the phone number will be used for fraud.