Abstract: A method and system for identifying and labeling fraudulent store return activities includes receiving, by a server, retailer events from an online transaction system of a retailer, the retailer events comprising records of transactions between customers and the retailer, including sale, exchange and return activities across multiple stores. The retailer events are processed to build a network that associates stores, transactions, payment instruments, and customer identification over related activity sequences of transactions.

Abstract: A method and system for identifying and labeling fraudulent store return activities includes receiving, by a server, retailer events from an online transaction system of a retailer, the retailer events comprising records of transactions between customers and the retailer, including sale, exchange and return activities across multiple stores. The retailer events are processed to build a network that associates stores, transactions, payment instruments, and customer identification over related activity sequences of transactions.

Abstract: Methods and Systems of detecting and reporting fraud in real-time are described. The system receives an event, over a network, from a first on-line transaction processing platform. The event includes a first identity identifier that identifies a first identity and information that identifies a first activity performed by the first identity. The system generates reporting information based on the event. The reporting information includes a first score that is associated with the first identity. The first score is a measure of a likelihood that the first identity has performed a fraudulent activity. Finally, the system communicates the first score, over the network, to the first on-line transaction processing platform. The system communicates the first score in response to receiving the event.