fraud-detection

Scanner, signatures and the largest collection of Magento malware

Marble - the real time decision engine for fraud and AML

Open-source ad fraud detection for small businesses using machine learning. Detect click fraud and bot traffic from Google Ads, Facebook Ads, and other platforms. Completely free.

Distributed Networks Institute

This research goal is to build binary classifier model which are able to separate fraud transactions from non-fraud transactions.

MER is a software that identifies and highlights manipulative communication in text from human conversations and AI-generated responses. MER can evaluate LLM responses for manipulative expressions, fostering development of transparency and safety in AI. It also supports manipulation victims by detecting manipulative patterns in human communication.

🔍 | 📈 | Life / Health Insurance Fraud Detection | 📋 | (Codeshahstra Round 1 Hackathon)

An AI-powered financial safety app built to help users manage money smarter. Features trust scoring, secure authentication, and real-time financial insights.

Real-time Mule Account Detection Engine for UPI. Uses Graph Neural Networks (GraphSAGE), JA3 Fingerprinting, and Behavioral Forensics (EIF) to identify money laundering rings, smurfing, and collusive fraud networks in milliseconds.

DAFU is a comprehensive fraud detection and e-commerce analytics platform designed for enterprise deployment. Currently in active development, it provides advanced machine learning-based fraud detection capabilities with a focus on anomaly detection and sequence analysis. C: dafu@masterfabric.co

This solution performs Anomaly Detection with Statistical Modeling on Spark. The detection is based on Z-Score calculated on cpu usage data collected from servers.

A machine learning-based web application to detect financial fraud in real time. Users can input transaction details and get instant fraud predictions.

A sample website integrating the ComplyCube SDK.

ExpenseGuard: Yapay Zeka Destekli Kurumsal Gider Yönetimi ve Fraud Tespit Platformu.

A proof-of-concept system that uses AI models to identify potential mule accounts in financial datasets by analyzing transaction patterns and user behavior signals.

Report on the performance of different machine learning algorithms in identifying persons of interest in the Enron Fraud Case

🛡️ SecureCard-AI: A high-performance credit card fraud detection system implemented in a Jupyter Notebook, achieving 99.97% accuracy.

UPI Fraud Sentinel - GNN Based Fraud Detection

This repository contains the code components of work carried out for analyzing the Medical Provider Fraud Detection dataset with the intent to find most important features to crack down the potentially fraud providers.

This GitHub repository provides a comprehensive set of tools and algorithms for detecting fraud anomalies in various data sources. Fraudulent activities can have severe consequences, impacting businesses and individuals alike. With this repository, we aim to empower researchers with effective techniques to identify and prevent fraudulent behavior.