Results 31 to 40 of about 112,889 (239)

Identifying Credit Card Fraud in Illegal Transactions Using Random Forest and Decision Tree Algorithms

Jurnal Sisfokom, 2023
The use of credit cards is increasing in today's digital era. This increase has resulted in many cases of fraud which have had a negative impact on credit card owners.
Indah Werdiningsih, Endah Purwanti, Gede Rangga Wira Aditya, Auliya Rakhman Hidayat, R. Sulthan Rafi Athallah, Virda Adisty Sahar, Tio Satrio Wibisono, Darren Febriand Nura Somba   +7 more
doaj   +1 more source

Credit Card Fraud Detection

International Journal for Modern Trends in Science and Technology, 2021
This research paper proposes a solution that should be deployed to identify whether the transaction is fraud or not. Although we know that most of the transaction takes place online meaning that this transaction can be theft on the go and will create problem to user therefore this paper focus on some particular machine learning algorithm for example ...
openaire   +1 more source

Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms

IEEE Access, 2022
People can use credit cards for online transactions as it provides an efficient and easy-to-use facility. With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced.
Fawaz Khaled Alarfaj, Iqra Malik, Hikmat Ullah Khan, Naif Almusallam, Muhammad Ramzan, Muzamil Ahmed   +5 more
doaj   +1 more source

A Study to Determinants of Risk Management and Prevention in Credit Card Business in Commercial Banks [PDF]

Journal of Information Technology Management, 2021
The purpose of this study is to explore and determinants the risk management and prevention in credit card business of Malaysian commercial banks. There were five factors derived through the literature and experimental investigation that are affecting ...
GholamReza Zandi, Rezvan Torabi, Liu Han Min, Ananda Devan Sivalingam, Tan Teck Khong   +4 more
doaj   +1 more source

An Intelligent Approach to Credit Card Fraud Detection Using an Optimized Light Gradient Boosting Machine

IEEE Access, 2020
New advances in electronic commerce systems and communication technologies have made the credit card the potentially most popular method of payment for both regular and online purchases; thus, there is significantly increased fraud associated with such ...
Altyeb Altaher Taha, Sharaf Jameel Malebary   +1 more
doaj   +1 more source

Credit Card Fraud Detection Using Logistic Regression and Synthetic Minority Oversampling Technique (SMOTE) Approach [PDF]

, 2023
Financial fraud is a serious threat that is expanding effects on the financial sector. The use of credit cards is growing as digitization and internet transactions advance daily. The most common issues in today\u27s culture are credit card scams.
Dalai, Sasanka Sekhar, Femi Godslove, Julius, Kpereobong Friday, Ibanga, Nayak, Subrat Kumar, Tripathy, Nrusingha   +4 more
core   +1 more source

Investigating the effectiveness of one-class and binary classification for fraud detection

Journal of Big Data, 2023
Research into machine learning methods for fraud detection is of paramount importance, largely due to the substantial financial implications associated with fraudulent activities. Our investigation is centered around the Credit Card Fraud Dataset and the
Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh   +3 more
doaj   +1 more source

ONLINE CREDIT CARD FRAUD: AN EMERGING CRIME IN THE INFORMATION TECHNOLOGY [PDF]

, 2015
While the online retailing environment has provided businesses with an unparalleled opportunity to expand and improve their profits, it has also increased the vulnerability of businesses to online credit card fraud. This paper discusses the vulnerability
Carolina, Anita
core   +2 more sources

A Credit Card Fraud Detection Method Based on Mahalanobis Distance Hybrid Sampling and Random Forest Algorithm

IEEE Access
Currently, the continuous expansion of the credit card business and the increasingly fierce competition have made all kinds of fraud risks in the overall credit card business the biggest threat.
Zhichao Xie, Xuan Huang
doaj   +1 more source

A Hybrid Simulated Annealing and Back-propagation Algorithm for Feed-forward Neural Network to Detect Credit Card Fraud

UHD Journal of Science and Technology, 2017
Due to the ascent and fast development of E-commerce, utilization of credit cards for online buys has significantly expanded, and it brought about a blast in the credit card fraud.
Ardalan Husin Awlla
doaj   +1 more source