Systems and methods for detecting fraudulent information
First Claim
1. A method for detecting fraud among a set of documents, the method comprising:
- collecting a set of documents, each document including information associated with a customer entity;
selecting a variable reflecting a characteristic of customer entity information provided in a document;
assigning the set of documents to a category type associated with the selected variable;
defining a control limit reflecting a predetermined rate of occurrence of the selected variable within the set of documents associated with the category type; and
filtering the set of documents, based on a determination that the control limit is exceeded to detect possibly fraudulent information.
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Accused Products
Abstract
Methods, systems, and articles of manufacture consistent with embodiments of the present invention perform a fraud detection process that organizes collected documents into one of a set of categories based on selected variables and information included in the documents. Each category of documents has one or more category types, which in turn, are associated with at least one variable that is further associated with certain threshold limits. The fraud detection process identifies one or more category types that are indicative of fraud based on an analysis of threshold violations for each variable in each category type. Based on the results of the analysis, and possibly filtering logic, selected documents are extracted from the identified category types and targeted for fraud analysis that may include validating the information included in each extracted document.
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Citations
32 Claims
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1. A method for detecting fraud among a set of documents, the method comprising:
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collecting a set of documents, each document including information associated with a customer entity;
selecting a variable reflecting a characteristic of customer entity information provided in a document;
assigning the set of documents to a category type associated with the selected variable;
defining a control limit reflecting a predetermined rate of occurrence of the selected variable within the set of documents associated with the category type; and
filtering the set of documents, based on a determination that the control limit is exceeded to detect possibly fraudulent information. - View Dependent Claims (2, 3, 4, 5)
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6. A method for detecting fraudulent information among a set of documents, wherein each document in the set of documents includes customer entity information and is assigned to a category, and wherein the documents assigned to the category are further assigned to one of a plurality of category types, each category type having a variable associated with a characteristic of the customer entity information, the method comprising:
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determining, for each category type, whether the respective variable exceeds a predetermined control limit;
identifying any category type that may indicate fraud based on a determination that the respective variable for that category type exceeds the predetermined control limit;
filtering those documents assigned to an identified category type identified for fraud; and
analyzing the filtered documents to determine whether they may include fraudulent information. - View Dependent Claims (7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A system for detecting fraud among a set of documents, comprising:
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a database for storing the set of documents, wherein each document includes customer entity information; and
a fraud detection system configured to;
receive the set of documents from the database, assign the set of documents to a category, each category having a plurality of category types and wherein each document is further assigned to one of the plurality of category types, and where each category type is associated with a variable that corresponds to a characteristic of customer entity information, and for each variable in each category type, define a control limit reflecting a predetermined limit for a rate of occurrence of the variable within documents associated with the category type, and detect fraud based on the rate of occurrence for the variable exceeding the control limit.
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19. A system for detecting fraud among a set of documents, comprising:
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a database for storing the set of documents, wherein each document includes customer entity information; and
a fraud detection system configured to;
assign the set of documents to a category, wherein the documents assigned to the category are further assigned to one of a plurality of category types, each category type having a variable associated with a characteristic of customer entity information, determine, for each category type, whether the respective variable exceeds a predetermined control limit, identify any category types that may indicate fraud based on a determination that the respective variable for that category type exceeds the predetermined control limit, filter those documents assigned to an identified category type identified for fraud, and analyze the filtered documents to determine whether they may include fraudulent information. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
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31. A computer-readable medium including instructions for performing a method, when executed by a processor, for detecting fraud among a set of documents, the method comprising:
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collecting a set of documents, each document including information associated with a customer entity;
selecting a variable reflecting a characteristic of customer entity information provided in a document;
assigning the set of documents to a category type associated with the selected variable;
defining a control limit reflecting a predetermined rate of occurrence of the selected variable within the set of documents associated with the category type; and
filtering the set of documents, based on a determination that the control limit is exceeded, to detect possibly fraudulent information.
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32. A computer-readable medium including instructions for performing a method, when executed by a processor, for detecting fraudulent information among a set of documents, wherein each document in the set of documents includes customer entity information and is assigned to a category, and wherein the documents assigned to the category are further assigned to one of a plurality of category types, each category type having a variable associated with a characteristic of customer entity information, the method comprising:
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determining, for each category type, whether the respective variable exceeds a predetermined control limit;
identifying any category type that may indicate fraud based on a determination that the respective variable for that category type exceeds the predetermined control limit;
filtering those documents assigned to an identified category type identified for fraud; and
analyzing the filtered documents to determine whether they may include fraudulent information.
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Specification