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Credit Card Fraud Detection

International Journal Of Recent Trends In Multidisciplinary Research
With the exponential rise in online financial transactions, credit card fraud has become a pressing challenge for both consumers and financial institutions. Conventional rule-based detection systems are increasingly ineffective in identifying sophisticated and evolving fraud patterns, often resulting in high false positive rates and delayed responses ...
Popova, Iva, Gardi, Hamza A. A.
  +17 more sources

A systematic review of literature on credit card cyber fraud detection using machine and deep learning [PDF]

PeerJ Computer Science, 2023
The increasing spread of cyberattacks and crimes makes cyber security a top priority in the banking industry. Credit card cyber fraud is a major security risk worldwide.
Eyad Abdel Latif Marazqah Btoush, Xujuan Zhou, Raj Gururajan, Ka Ching Chan, Rohan Genrich, Prema Sankaran   +5 more
doaj   +5 more sources

Credit card fraud detection using a hierarchical behavior-knowledge space model. [PDF]

PLoS ONE, 2022
With the advancement in machine learning, researchers continue to devise and implement effective intelligent methods for fraud detection in the financial sector.
Asoke K Nandi, Kuldeep Kaur Randhawa, Hong Siang Chua, Manjeevan Seera, Chee Peng Lim   +4 more
doaj   +2 more sources

CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network [PDF]

PeerJ Computer Science, 2023
Credit card fraud can lead to significant financial losses for both individuals and financial institutions. In this article, we propose a novel method called CTCN, which uses Conditional Tabular Generative Adversarial Networks (CTGAN) and temporal ...
Xiaoyan Zhao, Shaopeng Guan
doaj   +3 more sources

Gated attention based generative adversarial networks for imbalanced credit card fraud detection [PDF]

PeerJ Computer Science
Credit card fraud detection is highly important to maintain financial security. However, it is challenging to train suitable models due to the class imbalance in credit card transaction data.
Jiangmeng Ge, Lanxiang Yin, Shiqing Zhang, Xiaoming Zhao   +3 more
doaj   +3 more sources

Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach [PDF]

Big Data and Cognitive Computing
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble ...
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor, John Adejoh   +5 more
doaj   +6 more sources

HMOA-GNN: adaptive adversarial GraphSAGE with hierarchical hybrid sampling and metric-optimized graph construction for credit card fraud detection [PDF]

Scientific Reports
Accurate credit card fraud detection is vital for protecting financial systems and reducing economic losses. Graph neural networks (GNNs) have shown strong potential by capturing complex patterns in transaction networks.
Lina Ni, Xuqiang Li, Yuewei Zhou, Hang Qi, Xiaohui Man, Jinquan Zhang   +5 more
doaj   +2 more sources

Credit Card Fraud Detection

International Journal of Advanced Research in Science, Communication and Technology, 2022
Now a days online transactions have become an important and necessary part of our lives. Credit card fraud detection is presently the most frequently occurring problem in the present world. This is due to the rise in both online transactions and ecommerce platforms.
null Prof. Radha Shirbhate, null Somnath Borude, null Vishal Hadke, null Sushama Walunjkar, null Shubham Bhujade   +4 more
  +9 more sources

Credit Card Fraud Detection Using Machine Learning [PDF]

International Journal of Advanced Research in Science, Communication and Technology
In the modern digital economy, credit card fraud poses a significant challenge, necessitating the development of effective detection systems to mitigate substantial financial losses.
Kothari, Shivang Himmatbhai
core   +3 more sources

Credit Card Fraud Detection using Decision Tree and Random Forest [PDF]

ITM Web of Conferences, 2023
It is the time of technology advancement. Due to internet everything is available at the touch of a finger. There is a benefit of online shopping: first it saves lots of time and second it does not demand to go to market to buy anything.
Shah Dhwanir, Kumar Sharma Lokesh
doaj   +1 more source