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  • 标题:Credit Card Fraud Detection Techniques for Modified Genetic Algorithm
  • 本地全文:下载
  • 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
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