摘要
互联网环境下,信用卡应用场景由线下转向线上,面对日新月异的信用卡欺诈行为,传统单一的反欺诈系统显得力不从心。针对这种现象,通过分析了近几年信用卡反欺诈的现状和问题,结合现在信用卡欺诈特点,提出将规则引擎、数据挖掘模型、人工校验有机结合起来,形成一套互助互补、更加高效的信用卡反欺诈模式。
Under the background of the Internet, the credit card application scenarios turn the off-line to the on-line, faced with the rapid changes of the credit card fraud, the traditional single anti-fraud system seems powerless. In view of this phenomenon, through the analysis of the current situation and problems of credit card fraud in recent years, put forward a model combining rule engine, data mining model and manual check to form a set of Cooperative, complementary and more efficient anti-fraud mode of credit card.
作者
杨颖
赵守香
YANG Ying, ZHAO Shou-xiang （Management Science and Engineering Institute, Computer and Information Engineering College, Beijing Technology and Busi- ness University, Beijing 100048, China）
出处
《电脑知识与技术》
2018年第1期50-52,共3页
Computer Knowledge and Technology
