An Intelligent Method for Credit Card Fraud Detection using Improved CNN and Extreme Learning Machine

Author:

Yamini Kalva1,Anitha V.2,Polepaka Sanjeeva3,Chauhan Rahul4,Varshney Yukti5,Singh Mukesh6

Affiliation:

1. Sri Ramachandra Institute of Higher Education and Research,Cyber Security in CSE,Chennai,Tamilnadu,India

2. Imayam College of Engineering,Department of Computer Science and Engineering,Trichy,Tamilnadu,India

3. GRIET,Department of AIMLE,Hyderabad,Telangana,India

4. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,India

5. Moradabad Institute of Technology,Department of Computer Science & Engineering,Moradabad,Uttar Pradesh,India

6. Graphic Era University,Department of Computer Engineering,Dehradun,Uttarakhand,India

Publisher

IEEE

Reference27 articles.

1. Fraud Transactions Detection via Behavior Tree with Local Intention Calibration

2. The complexity of security studies in NFC payment system;pasquet;Proc 8th Aust Inf Secur Manag Conf,2010

3. Financial Fraud Detection;quick;Encycl Soc Netw Anal Min,2018

4. Session-Based Fraud Detection in Online E-Commerce Transactions Using Recurrent Neural Networks

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Automatic ATM Card Fraud Detection Using Advanced Security Model Based on AOA-CNN-XGBoost Approach;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

2. Comparative Evaluation of Fraud Detection in Online Payments Using CNN-BiGRU-A Approach;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

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