文章基本信息

标题：Credit Card Fraud Detection Techniques for Modified Genetic Algorithm
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作者：Kritika Joshi ; (Mrs) Ani Thomas
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2018
卷号：7
期号：7
页码：8072-8079
DOI：10.15680/IJIRSET.2018.70707077
出版社：S&S Publications
摘要：The use of credit cards for online purchases has increased recently thereby causing credit card fraud. Thus there is a need to detect and prevent credit card frauds, In this paper, we propose a method to detect fraud in credit card transactions using Genetic Algorithms. The aim is to develop a search heuristic method of generating test data and to generate useful solutions to optimization and search problems. A credit card payment system is developed which is a user friendly system. It allows utilization of all the facilities provided by an online banking system including online shopping. This system also stores all the user details in a secure manner. Thus using this system a user can perform banking operations and purchase items online without credit card fraud.
关键词：Genetic algorithm; data mining; heuristic approach; fraudulent transactions