FRAUD PREVENTION BASED ON USER ACTIVITY DATA
Abstract:
A user conducts activities, such as researching a product online or visiting a store that sells the product. A user then utilizes a risk analysis system to receive and store user activity data for the user's activities. When a purchase attempt is made with the user's financial account, a merchant sends a transaction request to the risk analysis system. The risk analysis system locates a record for the user and determines whether the product is identified in the user activity data. If the product is identified, the risk analysis system provides a risk score to the merchant indicating that the transaction is unlikely fraudulent. Alternatively, identification of the product provides a positive factor among multiple factors considered in a transaction risk analysis. An absence of the product in the activity can be used as a neutral or negative factor among multiple factors considered in a risk analysis of the transaction.
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