ANOMALOUS ACTIVITY DETECTION IN MULTI-PROVIDER TRANSACTIONAL ENVIRONMENTS

ANOMALOUS ACTIVITY DETECTION IN MULTI-PROVIDER TRANSACTIONAL ENVIRONMENTS

To detect anomalous activity within a multi-provider environment of transactional data, a particular target entity of a plurality of entities, such as a provider, is identified; multiple relationships associated with the multi-provider environment are determined, wherein each relationship is associa...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Obee, Elizabeth, Greene, Sheila, Spoor, Tristan, Bellec, Jacques
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:To detect anomalous activity within a multi-provider environment of transactional data, a particular target entity of a plurality of entities, such as a provider, is identified; multiple relationships associated with the multi-provider environment are determined, wherein each relationship is associated with a relationship score, and wherein the relationship score is determined based on a relational proximity criterion satisfied by the relationship; one or more risk scores are generated; a network risk score is generated for the target entity, multiple levels of related entities are identified, and anomalous activity detection is performed based on the network risk score. Anomalous activity and entity relationships are presented in a graph interface.