Trust labeling of call graphs for telecommunication network activity detection

    公开(公告)号:US12301425B2

    公开(公告)日:2025-05-13

    申请号:US17892569

    申请日:2022-08-22

    Abstract: A processing system may obtain a feature vector for a relationship between first and second user identities within a telecommunication network, the feature vector including: a first number of communications from the first user identity to the second user identity for a first communication channel, a first volume associated with the first number of communications, a second number of communications from the second user identity to the first user identity for the first communication channel, and a second volume associated with the second number of communications. The processing system may then calculate a scaled distance between the feature vector and a centroid comprising a mean vector of a set of relationships between user identities within the telecommunication network, where the scaled distance is associated to a trust value, and perform at least one remedial action in the telecommunication network based on the trust value.

    RELATIONSHIP GRAPHS FOR TELECOMMUNICATION NETWORK FRAUD DETECTION

    公开(公告)号:US20250133167A1

    公开(公告)日:2025-04-24

    申请号:US19007305

    申请日:2024-12-31

    Abstract: A processing system may maintain a relationship graph that includes nodes and edges representing phone numbers and device identifiers having associations with the phone numbers. The processing system may obtain an identification of a first phone number or a first device identifier for a fraud evaluation and extract features from the relationship graph associated with at least one of the first phone number or the first device identifier. The plurality of features may include one or more device identifiers associated with the first phone number, or one or more phone numbers associated with the first device identifier. The processing system may then apply the features to a prediction model that is implemented by the processing system and that is configured to output a fraud risk value of the first phone number or the first device identifier and implement at least one remedial action in response to the fraud risk value.

    CALL GRAPHS FOR TELECOMMUNICATION NETWORK ACTIVITY DETECTION

    公开(公告)号:US20230216968A1

    公开(公告)日:2023-07-06

    申请号:US17566886

    申请日:2021-12-31

    CPC classification number: H04M15/58 G06N5/022 H04M15/47

    Abstract: A processing system may maintain a communication graph that includes nodes representing a plurality of phone numbers including a first phone number and edges between the nodes representing a plurality of communications between the plurality of phone numbers and may generate at least one vector via a graph embedding process applied to the communication graph, the at least one vector representing features of at least a portion of the communication graph. The processing system may then apply the at least one vector to a prediction model that is implemented by the processing system and that is configured to predict whether the first phone number is associated with a type of network activity associated with a telecommunication network and may implement a remedial action in response to an output of the prediction model indicating that the first phone number is associated with the type of network activity.

    Relationship graphs for telecommunication network fraud detection

    公开(公告)号:US12192400B2

    公开(公告)日:2025-01-07

    申请号:US17566905

    申请日:2021-12-31

    Abstract: A processing system may maintain a relationship graph that includes nodes and edges representing phone numbers and device identifiers having associations with the phone numbers. The processing system may obtain an identification of a first phone number or a first device identifier for a fraud evaluation and extract features from the relationship graph associated with at least one of the first phone number or the first device identifier. The plurality of features may include one or more device identifiers associated with the first phone number, or one or more phone numbers associated with the first device identifier. The processing system may then apply the features to a prediction model that is implemented by the processing system and that is configured to output a fraud risk value of the first phone number or the first device identifier and implement at least one remedial action in response to the fraud risk value.

    IDENTIFICATION OF FEATURE GROUPS IN FEATURE GRAPH DATABASES

    公开(公告)号:US20240111771A1

    公开(公告)日:2024-04-04

    申请号:US17959520

    申请日:2022-10-04

    CPC classification number: G06F16/2455 G06F16/283

    Abstract: A processing system may apply a community detection process to a feature graph database to identify a plurality of communities of features, the feature graph database comprising: a plurality of objects, each associated with one of a feature or a concept, and a plurality of relationships between the plurality of objects. Next, the processing system may label a first plurality of features of the feature graph database with at least a first community label, where the first plurality of features comprises features of at least a first community of the plurality of communities. The processing system may then obtain a search associated with at least one feature of the feature graph database, where the at least one feature is a part of the at least the first plurality of features of the at least the first community, and provide the first plurality of features in response to the search.

    Call graphs for telecommunication network activity detection

    公开(公告)号:US11943386B2

    公开(公告)日:2024-03-26

    申请号:US17566886

    申请日:2021-12-31

    CPC classification number: H04M15/58 G06N5/022 H04M3/2281 H04M15/41 H04M15/47

    Abstract: A processing system may maintain a communication graph that includes nodes representing a plurality of phone numbers including a first phone number and edges between the nodes representing a plurality of communications between the plurality of phone numbers and may generate at least one vector via a graph embedding process applied to the communication graph, the at least one vector representing features of at least a portion of the communication graph. The processing system may then apply the at least one vector to a prediction model that is implemented by the processing system and that is configured to predict whether the first phone number is associated with a type of network activity associated with a telecommunication network and may implement a remedial action in response to an output of the prediction model indicating that the first phone number is associated with the type of network activity.

    RELATIONSHIP GRAPHS FOR TELECOMMUNICATION NETWORK FRAUD DETECTION

    公开(公告)号:US20230216967A1

    公开(公告)日:2023-07-06

    申请号:US17566905

    申请日:2021-12-31

    CPC classification number: H04M15/47 H04W8/26 H04M3/2281 H04M3/2218 G06N20/00

    Abstract: A processing system may maintain a relationship graph that includes nodes and edges representing phone numbers and device identifiers having associations with the phone numbers. The processing system may obtain an identification of a first phone number or a first device identifier for a fraud evaluation and extract features from the relationship graph associated with at least one of the first phone number or the first device identifier. The plurality of features may include one or more device identifiers associated with the first phone number, or one or more phone numbers associated with the first device identifier. The processing system may then apply the features to a prediction model that is implemented by the processing system and that is configured to output a fraud risk value of the first phone number or the first device identifier and implement at least one remedial action in response to the fraud risk value.

    DISAMBIGUATION OF FEATURE GRAPH DATABASES
    9.
    发明公开

    公开(公告)号:US20240111750A1

    公开(公告)日:2024-04-04

    申请号:US17959528

    申请日:2022-10-04

    CPC classification number: G06F16/23

    Abstract: A processing system may obtain a request to add at least a first feature to a feature graph database, where the request comprises a first feature ontology of the first feature, and where the first feature ontology comprises: a label of the first feature and a relationship of the first feature to a concept or to another feature. The processing system may then identify whether the first feature is a duplicate of a second feature in the feature graph database based at least upon the first feature ontology and a second feature ontology of the second feature and generate an indication of whether the first feature is a duplicate in response to the identifying.

    TRUST LABELING OF CALL GRAPHS FOR TELECOMMUNICATION NETWORK ACTIVITY DETECTION

    公开(公告)号:US20240064063A1

    公开(公告)日:2024-02-22

    申请号:US17892569

    申请日:2022-08-22

    CPC classification number: H04L41/12 G06K9/6269 G06K9/6215

    Abstract: A processing system may obtain a feature vector for a relationship between first and second user identities within a telecommunication network, the feature vector including: a first number of communications from the first user identity to the second user identity for a first communication channel, a first volume associated with the first number of communications, a second number of communications from the second user identity to the first user identity for the first communication channel, and a second volume associated with the second number of communications. The processing system may then calculate a scaled distance between the feature vector and a centroid comprising a mean vector of a set of relationships between user identities within the telecommunication network, where the scaled distance is associated to a trust value, and perform at least one remedial action in the telecommunication network based on the trust value.

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