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.

This application discloses a roaming charging method and apparatus. A blockchain network stores information related to roaming fee settlement, to reduce a possibility that the information related to roaming fee settlement is tampered with. In addition, a digital signature algorithm is used to sign roaming service statistics to generate an abstract, to further prevent the roaming service statistics from being tampered with. In this way, when a home carrier verifies a roaming account balance by using the roaming service statistics and a roaming charging rule, accuracy of a verification result can be ensured, and the home carrier can obtain an accurate roaming fee of a user.

The present disclosure relates to systems and methods for filtering electronic activities. The method includes identifying an electronic activity. The method includes parsing the electronic activity to identify one or more electronic accounts in the electronic activity. The method includes determining, responsive to parsing the electronic activity, that the electronic activity is associated with an electronic account of the one or more electronic accounts. The method includes selecting, based on the electronic account, one or more filtering policies associated with the data source provider to apply to the electronic activity. The method includes determining, by applying the selected one or more filtering policies to the electronic activity, to restrict the electronic activity from further processing based on the electronic activity satisfying at least one of the selected one or more filtering policies. The method includes restricting, the electronic activity from further processing.

The present disclosure relates to methods, systems, and storage media for detecting events based on updates to node profiles from electronic activities. Exemplary implementations may access an electronic activity transmitted or received via an electronic account associated with a data source provider; generate a plurality of activity field-value pairs; maintain a plurality of node profiles; identify a first state of a first node profile of the plurality of node profiles; update the first node profile using the electronic activity; identify a second state of the first node profile subsequent to updating the first node profile using the electronic activity; detect a state change of the first node profile based on the first state and the second state; determine that the state change satisfies an event condition; and store an association between the first node profile and an event type corresponding to the event condition.

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.

The present disclosure relates to restricting electronic activities from being linked with record objects. According to at least one aspect of the disclosure, a method can include accessing, by one or more processors, a plurality of electronic activities, accessing a plurality of record objects of one or more systems of record, identifying an electronic activity of the plurality of electronic activities to match to one or more record objects, determining a data source provider associated with providing access to the electronic activity, and identifying a system of record corresponding to the determined data source provider. The system of record can include a plurality of candidate record objects to which to match the electronic activity. The method can include restricting the electronic activity from being linked with the at least one record object.

The disclosed technology includes systems and methods for controlling enrollment and secure persistent SMS texting account servicing communications. A method is provided that includes receiving, at an enrollment web portal, enrollment data including: enrollment credentials identifying a user for authentication, a phone number of a mobile device associated with the user, and consent by the user to persistently interact with an account servicing system via SMS texting. The method includes: processing the received enrollment data, authenticating the user responsive to processing the received enrollment data, storing the phone number of the mobile device associated with the user in a phone number data storage, and generating, responsive to the authenticating, a revocable token for persistent access to a natural dialogue module via a SMS texting gateway for the mobile device identified by the phone number.

The present disclosure relates to a method for generating a group node profile based on member nodes. Member node profiles may be maintained. A subset of member node profiles may be identified. Each member node profile of the subset may correspond to a group entity. A set of member node fields to populate values for a group node profile of the group entity may be identified. A corresponding group node field of the group node profile may be updated in accordance with a group node population policy. A field value of the member node field to the group node field may be added. An entry to a value data structure of the field value of the group node field may be added.

The present disclosure relates to systems and methods for removing electronic activities from systems of record based on filtering policies. The method includes accessing record objects of one or more systems of record. The method includes identifying a plurality of electronic activities stored in a record object of one of the systems of record. The method includes parsing the plurality of electronic activities. The method includes determining that one of the electronic activities is associated with an electronic account corresponding to a data source provider. The method includes selecting one or more filtering policies associated with the electronic account. The method includes applying the selected one or more filtering policies to the plurality of electronic activities to identify a subset of electronic activities. The method includes initiating a process to cause removal of at least one electronic activity of the subset of electronic activities from the system of record.

The system described herein can automatically match, link, or otherwise associate electronic activities with one or more record objects. For an electronic activity that is eligible or qualifies to be matched with one or more record objects, the system can identify one or more set of rules or rule sets. Using the rule sets, the system can identify candidate record objects. The system can then rank the identified candidate record objects to select one or more record objects with which to associate the electronic activity. The system can then store an association between the electronic activity and the selected one or more record objects.