IEEE

Enhancing Fraud Detection and Prevention using Advanced Deep Learning Algorithms

Abstract: Fraud detection has turned into a pressing concern for the digital era, with online platforms and banks increasingly exposed to sophisticated fraudulent threats. Traditional machine learning ...
IEEE

Enhancing UPI Security through Deep - Learning Based Fraud Detection

Abstract: Digital transactions have improved the financial institution but at the same time enhanced fraud. Since this paper makes use of state-of-the-art techniques that should enhance accuracy and ...
IEEE

A Comparative Analysis of Backdoor and Label-Flipping Attacks on Credit Card Fraud Detection Using Ensemble Learning Techniques

Abstract: Advanced machine learning models have been applied across various sectors, including healthcare, finance, agriculture, and transportation, yielding promising results. The continuously ...
IEEE

A Hybrid GRU-MLP Approach for UPI Fraud Detection in Enhancing Digital Payment Security

Abstract: The rapid growth of Unified Payments Interface (UPI) transactions has led to increasing fraud incidents, posing serious challenges to digital payment security. Traditional rule-based and ...
IEEE

Financial Fraud Detection Using Machine Learning: A Review

Abstract: As digital payments become more prevalent across the globe, attacks have become more sophisticated, leading to an increase in financial fraud. Consequently, systems must be defended using ...
IEEE

A Systematic Review on Detection, Repair, and Explanation of Vulnerabilities in Source Code Using Large Language Models

Abstract: Software vulnerabilities pose critical risks to the security and reliability of modern systems, requiring effective detection, repair, and explanation techniques. Large Language Models (LLMs ...
IEEE

Secure Digital Payments: Fraud Detection in UPI Using Machine Learning Techniques

Abstract: The rapid adoption of Unified Payments Interface (UPI) systems has revolutionized digital transactions in India, but has also led to an increase in fraudulent activities targeting ...
IEEE

Online Exam Fraud Detection using Different Techniques

Abstract: This is a real-time face recognition and monitoring system that can be used in applications such as online exam proctoring and security. It uses the face recognition and OpenCV libraries of ...
IEEE

Quantum Principal Component Analysis for Financial Fraud Detection

Abstract: Among quantum machine learning applications anomaly detection has garnered significant attention due to its critical role in cybersecurity and financial fraud analysis. While prior research ...
IEEE

Multilayer Credit Card Fraud Detection Using a Hybrid Autoencoder-BiLSTM-XGBoost Framework with XAI

Abstract: Credit card fraud continues to be a significant concern in the banking sector, marked by increasingly complex methods of attack and substantial expenses. Current models frequently struggle ...