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US Patent 11935054 Systems and methods for automatically generating fraud strategies

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
119350541
Patent Inventor Names
Shihui Jia1
Hui-Min Chen1
Date of Patent
March 19, 2024
1
Patent Application Number
175888621
Date Filed
January 31, 2022
1
Patent Citations
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US Patent 11354583 Automatically generating rules for event detection systems
1
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US Patent 11276023 Machine learning optimization for fraud detection
1
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US Patent 11321777 Business data processing method and computer device
1
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US Patent 7707089 Method and system for automating fraud authorization strategies
1
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US Patent 8885894 Reduction of transaction fraud through the use of automatic centralized signature/sign verification combined with credit and fraud scoring during real-time payment card authorization processes
1
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US Patent 10037533 Systems and methods for detecting relations between unknown merchants and merchants with a known connection to fraud
1
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US Patent 10482542 Tax fraud detection through linked relationships
1
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US Patent 10509997 Neural network learning for the prevention of false positive authorizations
1
...
Patent Primary Examiner
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Radu Andrei
1
Patent abstract

This application relates to systems and methods for automatically generating fraud strategies. A system may comprise customer computing devices, a database, and retailer computing device(s). The retailer computing device(s) are configured to receive data related to customer transactions, calculate a negative reaction score, negative resolution score, anomaly score, and impact score for at least one value of the received data, determine whether the calculated scores are greater than or equal to respective thresholds, identify a value of the received data as a potentially fraudulent data value when one or more of the calculated scores is greater than or equal to its respective threshold, generate an output comprising a list of potentially fraudulent data value(s) and impact scores, identify area(s) of high impact leaks based on the output, and determine which customer computing devices are executing fraudulent transactions based on the identification of areas of high impact leaks.

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