发明名称 System and method for detecting merchant points of compromise using network analysis and modeling
摘要 Provided is a system for detecting a merchant point of compromise. More specifically, provided is a system for detecting a merchant point of compromise comprising a computer system in electronic communication with a transaction processing network containing transaction information, the computer system comprising a point-of-compromise detector, said point-of-compromise detector performing the steps of electronically receiving from the transaction processing network the transaction information; generating at least one of an undirected network or a directed network based on the transaction information; extracting features from the at least one of the undirected network or the directed network; and identifying one or more point-of-compromise merchants based on the extracted features.
申请公布号 US9563921(B2) 申请公布日期 2017.02.07
申请号 US201414206114 申请日期 2014.03.12
申请人 Opera Solutions U.S.A., LLC 发明人 Shi Lei;Huang Chengwei;Lee Jeong-Yoon;Wang Weiqiang;Zhang Jenny;Chen Yonghui
分类号 G06Q40/00 主分类号 G06Q40/00
代理机构 McCarter & English, LLP 代理人 McCarter & English, LLP
主权项 1. A system for detecting a merchant point of compromise, the system comprising: a point of sale terminal located at a merchant location; at least one of an issuer network, a payment network, and an acquirer network communicating with the point of sale terminal, each of said issuer network, said payment network, and said acquirer network including a server, a switch, or a router; and a point-of-compromise detector installed in a computer system forming part of the issuer network, the payment network, or the acquirer network, said point-of-compromise detector being implemented at one or more of the issuer network, the payment network, and the acquirer network, said point-of-compromise detector remote from the point of sale terminal and configured to remotely detect fraud occurring at the point of sale terminal by: electronically receiving the transaction information from the point of sale terminal; generating at least one of an undirected network or a directed network based on the transaction information; creating a plurality of nodes in the directed network, wherein each of the nodes represents a merchant; detecting consecutive transactions made by a fraud account; identifying a plurality of merchants associated with the consecutive transactions; connecting at least two of the plurality of nodes in the directed network by edges that represent the plurality of merchants associated with the consecutive transactions; assigning weights to the edges based on numbers of accounts associated with the consecutive transactions; extracting features from at least one of the undirected network or the directed network; and identifying one or more point-of-compromise merchants based on the extracted features.
地址 Jersey City NJ US