Mci Communications Corporation

Verizon Patent and Licensing Inc.

Mci, Inc.

Worldcom, Inc.

Jim Richards

Saralyn M Mahone

Charles Alan Dallas

James J Wagner

John Charles Gavan

Kevin Paul

Hans Van Arkel

Cheryl Herrington

Terrill J Curtis

Terril J Curtis

Terrell J Curtis

A system, method and computer program product for processing event records. The present invention includes a detection layer, an analysis layer, an expert systems layer and a presentation layer. The layered system includes a core infrastructure and a configurable, domain-specific implementation. The detection layer employs one or more detection engines, such as, for example, a rules-based thresholding engine and a profiling engine. The detection layer can include an AI-based pattern recognition engine for analyzing data records, for detecting new and interesting patterns and for updating the detection engines to insure that the detection engines can detect the new patterns. In one embodiment, the present invention is implemented as a telecommunications fraud detection system. When fraud is detected, the detection layer generates alarms which are sent to the analysis layer. The analysis layer filters and consolidates the alarms to generate fraud cases. The analysis layer preferably generates a probability of fraud for each fraud case. The expert systems layer receives fraud cases and automatically initiates actions for certain fraud cases. The presentation layer also receives fraud cases for presentation to human analysts. The presentation layer permits the human analysts to initiate additional actions.

System and method for detecting and managing fraud

A system, method and computer program product for processing event records. The present invention includes a detection layer, an analysis layer, an expert systems layer and a presentation layer. The layered system includes a core infrastructure and a configurable, domain-specific implementation. The detection layer employs one or more detection engines, such as a rules-based thresholding engine and a profiling engine. The detection layer can include an Artificial Intelligence based pattern recognition engine for analyzing data records, for detecting new and interesting patterns and for updating the detection engines to insure that the detection engines can detect the new patterns. In one embodiment, the present invention is implemented as a telecommunications fraud detection system. When fraud is detected, the detection layer generates alarms which are sent to the analysis layer. The analysis layer filters and consolidates the alarms to generate fraud cases. The analysis layer preferably generates a probability of fraud for each fraud case. The expert systems layer receives fraud cases and automatically initiates actions for certain fraud cases. The presentation layer also receives fraud cases for presentation to human analysts. The presentation layer permits the human analysts to initiate additional actions.

System, method and computer program product for processing event records

A configurable and scalable rules-based thresholding system, method and computer program product for processing event records includes a core infrastructure and a configurable domain-specific implementation. The core infrastructure is generically employed regardless of the actual type of network being monitored. The domain-specific implementation is provided with user specific data and rules. The core infrastructure includes an event record enhancer which enhances events with additional data and a threshold detector which determines whether an enhanced event record, alone or in light of prior event records, exceeds one or more thresholds. The enhancer can access external databases for additional information related to an event record. In one embodiment, the enhancer generates feature vectors to represent enhanced event records. The threshold detector receives enhanced event records from the event record enhancer. The threshold detector selects one or more threshold rules from a database of threshold rules for applying to the enhanced event records. Where enhanced event records are in the form of feature vectors containing features and feature values, the threshold detector selects one or more threshold rules based upon the features or feature values in the vector. Where the feature vector includes a threshold for a feature value, the threshold detector tests the feature values against the threshold. The threshold detector may access prior event records in order to apply one or more threshold rules.

System, method and computer program product for a dynamic rules-based threshold engine

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Omaha, NE, United States of America

Jim Richards