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SYSTEM AND METHOD FOR UNSUPERVISED ABSTRACTION OF SENSITIVE DATA FOR DETECTION MODEL SHARING ACROSS ENTITIES

机译:用于跨实体分享的检测模型的无核敏感数据的系统和方法

摘要

An abstraction system for generating a standard customer profile in a data processing system has a processing device and a memory. The abstraction system may receive customer data from a computing device over a network, the customer data including information for a plurality of customers and perform unsupervised learning on the customer data to produce a plurality of clusters of customers with a plurality of features in common, determine that a cluster represents a standard customer and store a plurality of standard customer profiles based on the determined standard customers. The abstraction system may also provide the standard customer profiles to a cognitive system for generating synthetic transaction data based on the standard customer, generate a detection model for detecting activity based on the synthetic transaction data, and distribute the detection model to each of the computing devices over the network.
机译:用于在数据处理系统中生成标准客户简档的抽象系统具有处理设备和存储器。抽象系统可以通过网络从计算设备接收客户数据,客户数据包括多个客户的信息,并对客户数据执行无监督的学习,以产生具有多种共同的多个特征的多个客户集群,确定群集表示标准客户,并根据所确定的标准客户存储多个标准客户配置文件。抽象系统还可以向基于标准客户生成合成事务数据的认知系统的标准客户配置文件,生成用于基于合成事务数据检测活动的检测模型,并将检测模型分发到每个计算设备在网络上。

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