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System, Method, and Computer Program Product for Merchant Breach Detection Using Convolutional Neural Networks

机译:使用卷积神经网络进行商家突破检测的系统,方法和计算机程序产品

摘要

Described are a system, method, and computer program product for merchant breach detection using convolutional neural networks. The method includes receiving transaction data associated with a plurality of transactions by a plurality of payment devices in a first time period subsequent to the plurality of payment devices transacting with a merchant. The method also includes identifying, based on inputting at least one parameter of the transaction data into a fraud evaluation model, a set of suspected fraudulent transactions of the plurality of transactions. The method further includes generating an image comprising a field of points, wherein each point of the field of points is associated with at least one transaction. The method further includes detecting breach of the merchant by processing the image with a convolutional neural network (CNN) model.
机译:描述是使用卷积神经网络的商家突破检测的系统,方法和计算机程序产品。 该方法包括在与商家交易交易的多个支付设备之后的第一时间段中接收与多个支付设备相关联的交易数据。 该方法还包括基于将事务数据的至少一个参数输入到欺诈评估模型中的识别,这是多个事务的一组可疑的欺诈交易。 该方法还包括生成包括点字段的图像,其中点的每个点与至少一个事务相关联。 该方法还包括通过用卷积神经网络(CNN)模型处理图像来检测商家的泄露。

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