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Enhanced Credit Card Fraud Detection Model Using Machine Learning

https://doi.org/10.3390/electronics11040662

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Logistic Regression

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When is Undersampling Effective in Unbalanced Classification Tasks?

inferredcites →https://doi.org/10.1007/s00521-015-1923-yopenalex-snapshot

Monarch butterfly optimization

inferredcites →https://doi.org/10.1007/s10044-007-0087-5openalex-snapshot

On the k-NN performance in a challenging scenario of imbalance and overlapping

inferredcites →https://doi.org/10.1007/s12293-016-0212-3openalex-snapshot

Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems

inferredcites →https://doi.org/10.1016/b978-0-12-800229-2.00015-8openalex-snapshot

Advanced Topics

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Harris hawks optimization: Algorithm and applications

inferredcites →https://doi.org/10.1016/j.gltp.2021.01.006openalex-snapshot

Credit card fraud detection using artificial neural network

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HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture

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An introduction to ROC analysis

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Selecting and interpreting measures of thematic classification accuracy

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Data Analytics in Asset Management: Cost-Effective Prediction of the Pavement Condition Index

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An Experimental Study With Imbalanced Classification Approaches for Credit Card Fraud Detection

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

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Supervised Machine Learning Algorithms for Credit Card Fraud Detection: A Comparison

inferredcites →https://doi.org/10.1109/fuzz.2002.1005055openalex-snapshot

Parallel granular neural networks for fast credit card fraud detection

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Credit Card Fraud Detection Techniques – A Survey

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Fraudulent Transaction Detection in Credit Card by Applying Ensemble Machine Learning techniques

inferredcites →https://doi.org/10.1109/iccct2.2019.8824930openalex-snapshot

Credit Card Fraud Detection Using Random Forest Algorithm

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Isolation Forest

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Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data

inferredcites →https://doi.org/10.1109/iciccs48265.2020.9120957openalex-snapshot

Credit Card Fraud Detection using Artificial Neural Network and BackPropagation

inferredcites →https://doi.org/10.1109/infoteh.2019.8717766openalex-snapshot

Credit Card Fraud Detection - Machine Learning methods

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Detecting credit card fraud by ANN and logistic regression

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Elephant Herding Optimization

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On atypical database transactions: identification of probable frauds using machine learning for user profiling

inferredcites →https://doi.org/10.1109/optronix.2019.8862335openalex-snapshot

Application of Earthworm Optimization Algorithm for solution of Optimal Power Flow

inferredcites →https://doi.org/10.1109/ssci.2015.33openalex-snapshot

Calibrating Probability with Undersampling for Unbalanced Classification

inferredcites →https://doi.org/10.1109/tkde.2008.239openalex-snapshot

Learning from Imbalanced Data

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LOF

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The meaning and use of the area under a receiver operating characteristic (ROC) curve.

inferredcites →https://doi.org/10.1155/2014/252797openalex-snapshot

FraudMiner: A Novel Credit Card Fraud Detection Model Based on Frequent Itemset Mining

inferredcites →https://doi.org/10.1186/s13040-021-00244-zopenalex-snapshot

The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation

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Greedy function approximation: A gradient boosting machine.

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Detecting Credit Card Fraud Using Selected Machine Learning Algorithms

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Credit Card Fraud Detection using Local Outlier Factor and Isolation Forest

inferredcites →https://doi.org/10.37418/amsj.9.3.43openalex-snapshot

CREDIT CARD FRAUD DETECTION USING DATA ANALYTICS TECHNIQUES

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Analysis on Credit Card Fraud Detection Techniques: Based on Certain Design Criteria

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Advancing the Frontiers in Credit Card Security: Breakthroughs in Fraud Detection Using Cutting-Edge Machine Learning Techniques

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Credit Card Fraud Detection with Machine Learning and Big Data Analytics

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Credit Card Fraud Payments Detection Using Machine Learning Classifiers on Imbalanced Data Set Optimized by Feature Selection

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Fraud Detection in Online Payments Using Deep Learning Models for Sustainable Development

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A Meta-analysis of Credit Card Fraud Detection Using Machine Learning Techniques

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A Systematic Review Paper for Anomaly Detection in Financial Transactions

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A Comparative Analysis of FA1$$\rightarrow $$3 and L$$\acute{e}$$vy-Flight Based FA1$$\rightarrow $$3 with Applications in Credit Card Fraud Using SMOTE Data Augmentation

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Domain-Semantic Subspace Stacking for Financial Fraud Detection

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Fraud Detection Using ML Algorithms

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A Review of Deep Learning and Hybrid Techniques for Credit Card Fraud Detection: Trends, Challenges, and Solutions

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Fintech: Artificial Intelligence and Machine Learning Leverage

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Effective Stacked Ensemble Models for Better Real-Time Banking Security

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Hybrid Stacking Algorithm to Detect Fraudulent Transactions in Credit Card

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An Efficient Credit Card Fraud Detection Using SMOTE Under Machine Learning Environment

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Outside the Closed World: On Using Machine Learning for Network Intrusion Detection

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RETRACTED ARTICLE: Cybersecurity enhancement to detect credit card frauds in health care using new machine learning strategies

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Wave Hedges distance-based feature fusion and hybrid optimization-enabled deep learning for cyber credit card fraud detection

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Optimizing Network and Systems Management for Fraud Detection: A High-Performance Approach Using Random Light Gradient-Based CatBoost Ensemble with Enhanced Gold Rush Algorithm

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A voting ensemble machine learning based credit card fraud detection using highly imbalance data

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Optimizing Hyperparameters for Credit Card Fraud Detection with Nature-Inspired Metaheuristic Algorithms in Machine Learning

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Unbalanced Credit Card Fraud Detection Data: A Machine Learning-Oriented Comparative Study of Balancing Techniques

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Secure AI Frameworks for Detecting Cross-Border Tax Fraud

inferred← citeshttps://doi.org/10.1109/icirca57980.2023.10220771openalex-snapshot

Detection of Credit Card Fraud Detection Using HPO with Inception Based Deep Learning Model

inferred← citeshttps://doi.org/10.1109/icodse68111.2025.11351709openalex-snapshot

Optimizing Differential Privacy for Effective Machine Learning-Based Financial Fraud Detection

inferred← citeshttps://doi.org/10.1109/icoict66265.2025.11193008openalex-snapshot

Comparison of Undersampling Techniques in Credit Card Fraud Modeling Cases

inferred← citeshttps://doi.org/10.1109/icpcsn65854.2025.11034783openalex-snapshot

Implementation on Credit Card Fraud Detection using GAN Oversampling

inferred← citeshttps://doi.org/10.1109/icsc64553.2025.10968893openalex-snapshot

Evaluating Machine Learning Algorithms for Effective Credit Card Fraud Detection

inferred← citeshttps://doi.org/10.1109/icscsa66339.2025.11170792openalex-snapshot

Enhanced NBA Fraud Detection in Online Banking using Ensemble Learning and SMOTE

inferred← citeshttps://doi.org/10.1109/icstem61137.2024.10560740openalex-snapshot

Fraud Fighters - How AI and ML are Revolutionizing UPI Security

inferred← citeshttps://doi.org/10.1109/ictest64710.2025.11042822openalex-snapshot

The Roadmap to Digital Transformation in Banking: Advancing Credit Card Fraud Detection with Hybrid Deep Learning Model

inferred← citeshttps://doi.org/10.1109/idciot59759.2024.10467340openalex-snapshot

Robust Hybrid Machine Learning Model for Financial Fraud Detection in Credit Card Transactions

inferred← citeshttps://doi.org/10.1109/idciot59759.2024.10467714openalex-snapshot

Machine Learning-Powered Fraud Detection & Prevention: A Comprehensive Implementation

inferred← citeshttps://doi.org/10.1109/inocon57975.2023.10101137openalex-snapshot

Detection of Credit Card Fraudulent Transactions Utilizing Machine Learning Algorithms

inferred← citeshttps://doi.org/10.1109/it61232.2024.10475768openalex-snapshot

Credit Card Fraud Detection Using Supervised Learning Algorithms

inferred← citeshttps://doi.org/10.1109/pst58708.2023.10320151openalex-snapshot

Exploration of Various Machine Learning Techniques for Identifying and Mitigating DDoS Attacks

inferred← citeshttps://doi.org/10.1109/raaicon64172.2024.10928582openalex-snapshot

CCFD-SSL: Optimizing Real-Time Credit Card Fraud Detection Using Self-Supervised Learning and Contrastive Representations

inferred← citeshttps://doi.org/10.1109/raaicon69033.2025.11502403openalex-snapshot

An Interpretable ML-Based Framework for Credit Card Fraud Detection Using Ensemble Learning and Feature Selection

inferred← citeshttps://doi.org/10.1109/raaicon69033.2025.11502535openalex-snapshot

An Explainable Stacked Ensemble Framework for Credit Card Fraud Detection

inferred← citeshttps://doi.org/10.1109/roedunet64292.2024.10722691openalex-snapshot

Implementing a Java Microservice for Credit Fraud Detection Using Machine Learning

inferred← citeshttps://doi.org/10.1109/sita60746.2023.10373690openalex-snapshot

A weighted average ensemble learning based on the cuckoo search algorithm for fraud transactions detection

inferred← citeshttps://doi.org/10.1109/smart63812.2024.10882548openalex-snapshot

Online Payment Fraud Detection on Skewed Data: A Comparison Between KNN and Decision Tree

inferred← citeshttps://doi.org/10.1109/ssitcon62437.2024.10797041openalex-snapshot

Sine Cosine based Zebra Optimization Algorithm with Support Vector Machine for Credit Card Fraud Detection

inferred← citeshttps://doi.org/10.1109/ssteps57475.2022.00063openalex-snapshot

Fraud detection in Online Payment Transaction using Machine Learning Algorithms

inferred← citeshttps://doi.org/10.1109/tbdata.2026.3679567openalex-snapshot

Enhanced Approaches for Anomaly Detection in Streaming Data: Coupling Gaussian Distributions With Space Trees and Adaptive AutoEncoders

inferred← citeshttps://doi.org/10.1109/tocs56154.2022.10015981openalex-snapshot

Systematic Analysis of Big Data Based Machine Learning Algorithms on Various Fields

inferred← citeshttps://doi.org/10.1109/wconf64849.2025.11233401openalex-snapshot

Integrating Machine Learning for Optimized Credit Card Processing: Enhancing Acquisition, Approval, and Fraud Detection

inferred← citeshttps://doi.org/10.1111/coin.12555openalex-snapshot

An efficient credit card fraud detection approach using cost‐sensitive weak learner with imbalanced dataset

inferred← citeshttps://doi.org/10.1111/exsy.13682openalex-snapshot

Optimizing fraud detection in financial transactions with machine learning and imbalance mitigation

inferred← citeshttps://doi.org/10.1117/12.3024128openalex-snapshot

Analysis of various machine learning models in detecting credit card fraud activities

inferred← citeshttps://doi.org/10.1140/epjds/s13688-023-00402-9openalex-snapshot

Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach

inferred← citeshttps://doi.org/10.1142/s0218488525400057openalex-snapshot

Fraud Detection in Financial Transactions Using Advanced Neural Network Techniques

inferred← citeshttps://doi.org/10.1142/s0218488525400082openalex-snapshot

Securing Financial Transactions through Cutting-Edge Machine Learning Approaches to Effectively Combat Credit Card Fraud

inferred← citeshttps://doi.org/10.1145/3654522.3654588openalex-snapshot

Fraud Detection Models and their Explanations for a Buy-Now-Pay-Later Application

inferred← citeshttps://doi.org/10.1145/3711129.3711298openalex-snapshot

A Hybrid CNN-SVM-LightGBM Model for Enhanced Credit Card Fraud Detection on Imbalanced Datasets

inferred← citeshttps://doi.org/10.1145/3773966.3779390openalex-snapshot

Adapting to Evolving Data: Test-Time Expert Aggregation for Imbalanced Tabular Regression

inferred← citeshttps://doi.org/10.1155/2022/1468015openalex-snapshot

Financial Fraud Detection Approach Based on Firefly Optimization Algorithm and Support Vector Machine

inferred← citeshttps://doi.org/10.11591/ijece.v13i6.pp6827-6835openalex-snapshot

Performance evaluation of botnet detection using machine learning techniques

inferred← citeshttps://doi.org/10.11591/ijeecs.v34.i3.pp2032-2044openalex-snapshot

Comparative analysis of machine learning models for breast cancer prediction and diagnosis: a dual-dataset approach

inferred← citeshttps://doi.org/10.1177/18724981241289751openalex-snapshot

Explainable AI - enhanced ensemble learning for financial fraud detection in mobile money transactions

inferred← citeshttps://doi.org/10.1186/s42400-024-00221-zopenalex-snapshot

Securing transactions: a hybrid dependable ensemble machine learning model using IHT-LR and grid search

inferred← citeshttps://doi.org/10.1287/mnsc.2023.03604openalex-snapshot

Unearthing Financial Statement Fraud: Insights from News Coverage Analysis

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140680openalex-snapshot

End-to-End Real-time Architecture for Fraud Detection in Online Digital Transactions

inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150131openalex-snapshot

Comparison of SVM kernels in Credit Card Fraud Detection using GANs

inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150688openalex-snapshot

A Comprehensive Machine Learning Framework for Anomaly Detection in Credit Card Transactions

inferred← citeshttps://doi.org/10.15294/jte.v14i1.35787openalex-snapshot

A Minimum Error-Based PCA for Improving Classifier Performance in Detecting Financial Fraud

inferred← citeshttps://doi.org/10.15587/1729-4061.2022.254922openalex-snapshot

Fraud detection under the unbalanced class based on gradient boosting

inferred← citeshttps://doi.org/10.17587/it.32.373-381openalex-snapshot

Machine learning methods and models for ensuring the security of financial transactions using bankcards

inferred← citeshttps://doi.org/10.20944/preprints202407.0022.v1openalex-snapshot

Credit Card Fraud Detection with Machine Learning and Big Data Analytics: A PySpark Framework Implementation

inferred← citeshttps://doi.org/10.21015/vtcs.v12i2.1921openalex-snapshot

Optimizing Machine Learning Classifiers for Credit Card Fraud Detection on Highly Imbalanced Datasets Using PCA and SMOTE Techniques

inferred← citeshttps://doi.org/10.21015/vtcs.v13i2.2298openalex-snapshot

Real-Time Detection of Credit Card Fraud in Imbalanced Datasets Using Machine Learning and Ensemble Approaches

inferred← citeshttps://doi.org/10.2139/ssrn.5211244openalex-snapshot

Analysing Machine Learning Algorithms for Identifying Fraudulent Financial Transactions

inferred← citeshttps://doi.org/10.2139/ssrn.7446118openalex-snapshot

Toward Improving Fraud Detection in “Buy Now, Pay Later” Transactions using Graph Identity Resolution and Combining a Hybrid Graph Neural Network with an Ensemble Classifier

inferred← citeshttps://doi.org/10.21833/ijaas.2024.10.013openalex-snapshot

An enhanced AI-based model for financial fraud detection

inferred← citeshttps://doi.org/10.22214/ijraset.2022.44962openalex-snapshot

Prediction of Fraudulent or Genuine Transactions on Credit Card Fraud Detection Dataset Using Machine Learning Techniques

inferred← citeshttps://doi.org/10.22214/ijraset.2024.61180openalex-snapshot

Identifying Credit Card Fraudulent Transactions through Machine Learning Analysis

inferred← citeshttps://doi.org/10.24012/dumf.1643370openalex-snapshot

k-medoids Kümeleme, Boosting ve BERT algoritmalarıyla Kredi Kartlarındaki Şüpheli Davranışların Tespit Edilmesi

inferred← citeshttps://doi.org/10.24996/ijs.2024.65.4.42openalex-snapshot

Credit Card Fraud Detection Challenges and Solutions: A Review

inferred← citeshttps://doi.org/10.25046/aj090301openalex-snapshot

An Adaptive Heterogeneous Ensemble Learning Model for Credit Card Fraud Detection

inferred← citeshttps://doi.org/10.26634/jds.3.1.21583openalex-snapshot

A hybridized SMOTE-ENN approach on imbalanced dataset of fraudulent credit-card scenario

inferred← citeshttps://doi.org/10.28991/hij-2024-05-01-014openalex-snapshot

Real-Time Online Banking Fraud Detection Model by Unsupervised Learning Fusion

inferred← citeshttps://doi.org/10.2991/978-94-6463-256-9_77openalex-snapshot

Credit Card Fraud Detection Prediction: Machine Learning Algorithm

inferred← citeshttps://doi.org/10.31577/cai_2024_1_213openalex-snapshot

HS-CGK: A Hybrid Sampling Method for Imbalance Data Based on Conditional Tabular Generative Adversarial Network and K-Nearest Neighbor Algorithm

inferred← citeshttps://doi.org/10.31893/multirev.2026329openalex-snapshot

The evolution of accountancy research: A systematic literature review of trends from 1995 to 2025

inferred← citeshttps://doi.org/10.32604/cmc.2023.035558openalex-snapshot

A Credit Card Fraud Model Prediction Method Based on Penalty Factor Optimization AWTadaboost

inferred← citeshttps://doi.org/10.32604/jcs.2023.045422openalex-snapshot

Credit Card Fraud Detection on Original European Credit Card Holder Dataset Using Ensemble Machine Learning Technique

inferred← citeshttps://doi.org/10.32628/ijsrset2512310openalex-snapshot

Financial Fraud Detection Using Value-At-Risk with Machine Learning in Skewed Data

inferred← citeshttps://doi.org/10.33423/jabe.v24i4.5434openalex-snapshot

Reexamine the Role of the Financial Institution Management During Card Debt Crisis or the COVID-19

inferred← citeshttps://doi.org/10.3389/frai.2026.1813728openalex-snapshot

Applying supervised machine learning algorithms and ensemble models to enhance credit card fraud detection

inferred← citeshttps://doi.org/10.3389/frma.2024.1432774openalex-snapshot

AI-powered fraud and the erosion of online survey integrity: an analysis of 31 fraud detection strategies

inferred← citeshttps://doi.org/10.3390/a18120792openalex-snapshot

LLM-Assisted Financial Fraud Detection with Reinforcement Learning

inferred← citeshttps://doi.org/10.3390/app13042272openalex-snapshot

A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning Technique

inferred← citeshttps://doi.org/10.3390/app15031356openalex-snapshot

A Systematic Review of Intelligent Systems and Analytic Applications in Credit Card Fraud Detection

inferred← citeshttps://doi.org/10.3390/appliedmath5040131openalex-snapshot

Detecting Imbalanced Credit Card Fraud via Hybrid Graph Attention and Variational Autoencoder Ensembles

inferred← citeshttps://doi.org/10.3390/bdcc7030144openalex-snapshot

Enhancing the Early Detection of Chronic Kidney Disease: A Robust Machine Learning Model

inferred← citeshttps://doi.org/10.3390/electronics12040957openalex-snapshot

Big Data Analytics Using Artificial Intelligence

inferred← citeshttps://doi.org/10.3390/electronics14091754openalex-snapshot

Big Data-Driven Distributed Machine Learning for Scalable Credit Card Fraud Detection Using PySpark, XGBoost, and CatBoost

inferred← citeshttps://doi.org/10.3390/jrfm18040179openalex-snapshot

Secure and Transparent Banking: Explainable AI-Driven Federated Learning Model for Financial Fraud Detection

inferred← citeshttps://doi.org/10.3390/jrfm19010014openalex-snapshot

Recent Progress on Financial Risk Detection in the Context of Transaction Fraud Based on Machine Learning Algorithms

inferred← citeshttps://doi.org/10.3390/jtaer17040077openalex-snapshot

Machine Learning to Develop Credit Card Customer Churn Prediction

inferred← citeshttps://doi.org/10.3390/make8030066openalex-snapshot

Dynamic Feature Selection for Canadian GDP Forecasting: Machine Learning with Google Trends and Official Data

inferred← citeshttps://doi.org/10.3390/math11051184openalex-snapshot

Estimating Financial Fraud through Transaction-Level Features and Machine Learning

inferred← citeshttps://doi.org/10.3390/math13040642openalex-snapshot

Advanced Tax Fraud Detection: A Soft-Voting Ensemble Based on GAN and Encoder Architecture

inferred← citeshttps://doi.org/10.3390/sym18020224openalex-snapshot

Leveraging Distributional Symmetry in Credit Card Fraud Detection via Conditional Tabular GAN Augmentation and LightGBM

inferred← citeshttps://doi.org/10.3390/technologies12100186openalex-snapshot

A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection

inferred← citeshttps://doi.org/10.36893/jes.2025.v16i04.024openalex-snapshot

The Financial Fraud Detection Using A Value-At Risk With Machine Learning in Skewed Data

inferred← citeshttps://doi.org/10.36948/ijfmr.2023.v05i05.7468openalex-snapshot

Real-time Card Fraud Detection: A Stacked Ensemble Machine Learning Approach

inferred← citeshttps://doi.org/10.3934/dsfe.2025002openalex-snapshot

Prediction of bank credit customers churn based on machine learning and interpretability analysis

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