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公开(公告)号：US12192400B2
公开(公告)日：2025-01-07
申请号：US17566905
申请日：2021-12-31
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Surya Murali , Edmond J. Abrahamian , Ana Armenta , Prince Paulraj , Elijah Hall
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.
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公开(公告)号：US11979521B2
公开(公告)日：2024-05-07
申请号：US17321279
申请日：2021-05-14
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Ryan Steckel , Ana Armenta , Prince Paulraj , Chih Chien Huang
CPC classification number: H04M7/0078 , H04L51/21 , H04M3/22 , G06Q20/4016
Abstract: Data stream based event sequence anomaly detection for mobility customer fraud analysis is presented herein. A system obtains a sequence of events comprising respective modalities of communication that correspond to a subscriber identity associated with a communication service—the sequence of events having occurred within a defined period. Based on defined classifiers representing respective fraudulent sequences of events, the system determines, via a group of machine learning models corresponding to respective machine learning processes, whether the sequence of events satisfies a defined condition with respect to likelihood of representing a fraudulent sequence of events of the respective fraudulent sequences of events. In response to the sequence of events being determined to satisfy the defined condition, the system sends, via a user interface of the system, a notification indicating that the sequence of events has been determined to represent the fraudulent sequence of events.
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Patent Agency Ranking
公开(公告)号：US20240111771A1
公开(公告)日：2024-04-04
申请号：US17959520
申请日：2022-10-04
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Elijah Hall , Edmond J. Abrahamian , Ana Armenta , Andrew Campbell , Jean Luo , Prince Paulraj
IPC: G06F16/2455 , G06F16/28
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.
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公开(公告)号：US11943386B2
公开(公告)日：2024-03-26
申请号：US17566886
申请日：2021-12-31
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Elijah Hall , Prince Paulraj , Ana Armenta , Surya Murali
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.
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公开(公告)号：US20230216967A1
公开(公告)日：2023-07-06
申请号：US17566905
申请日：2021-12-31
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Surya Murali , Edmond J. Abrahamian , Ana Armenta , Prince Paulraj , Elijah Hall
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.
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公开(公告)号：US20230153873A1
公开(公告)日：2023-05-18
申请号：US17529964
申请日：2021-11-18
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Qiuying Jiang , Ana Armenta , Prince Paulraj , Jean Luo
CPC classification number: G06Q30/04 , G06F16/2379
Abstract: Aspects of the subject disclosure may include, for example, obtaining first information indicative of a first change to a first aspect of a user account; applying some or all of the first information to a first model to determine a first score associated with the first change; aggregating the first score with one or more first prior scores associated with one or more prior changes to the first aspect of the user account, resulting in a first aggregate score; obtaining second information indicative of a second change to a second aspect of the user account; applying some or all of the second information to a second model, that is different from the first model, to determine a second score associated with the second change; aggregating the second score with one or more second prior scores associated with one or more prior changes to the second aspect of the user account, resulting in a second aggregate score; and storing the first aggregate score and the second aggregate score in a database. Other embodiments are disclosed.
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公开(公告)号：US20230029312A1
公开(公告)日：2023-01-26
申请号：US17382746
申请日：2021-07-22
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Prince Paulraj , Arun Luthra , Ana Armenta , Jean Luo
Abstract: To detect multiple suspicious patterns while at the same time keeping the number of model parameters low, a learned aggregation model is used to distinguish suspiciously similar applications from unrelated applications.
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