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US Patent 11748757 Network security systems and methods for detecting fraud

Patent 11748757 was granted and assigned to MasterCard on September, 2023 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors

Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
MasterCard
MasterCard
Current Assignee
MasterCard
MasterCard
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11748757
Patent Inventor Names
Mario Segal
Ziying Li
Date of Patent
September 5, 2023
Patent Application Number
16389631
Date Filed
April 19, 2019
Patent Citations
‌
US Patent 8606712 Multi-stage filtering for fraud detection with account event data filters
‌
US Patent 8666861 Software and methods for risk and fraud mitigation
‌
US Patent 9483765 Systems and methods for monitoring payment transactions for fraud using social media
‌
US Patent 9842338 System to identify vulnerable card readers
‌
US Patent 9953321 Card fraud detection utilizing real-time identification of merchant test sites
‌
US Patent 9996837 Integration of secure protocols into a fraud detection system
‌
US Patent 10102530 Card fraud detection utilizing real-time identification of merchant test sites
‌
US Patent 10089683 Fraud reduction system for transactions
...
Patent Citations Received
‌
US Patent 12081547 Enhancing investment account security
1
Patent Primary Examiner
‌
Edward Chang
CPC Code
‌
G06Q 20/40
‌
G06Q 20/409
‌
G06Q 20/4016
‌
G06Q 30/0202
‌
G06N 20/00

A system for detecting fraud within a payment card network includes a memory storing historical transaction data and a processor configured to identify a set of historical transaction data, the set of historical transaction data include one or more test transactions labeled as having been used to test validity of an underlying account, train a model using the identified set of historical transaction data as labeled training data, the model is configured to accept transaction data associated with an input transaction and to classify the input transaction as a test transaction, apply a suspect transaction of a cardholder account as the input transaction to the model, the model generates an indication that the suspect transaction is a test transaction, mark the cardholder account as compromised based on having experienced test transaction activity, and reject a pending transaction based on the cardholder account being marked as compromised.

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