esp1745/Adversarial-mobile-money-fraud-detection-system

This project implements a cutting-edge adversarial fraud detection system specifically designed for mobile money transactions in African markets. Unlike traditional fraud detection systems # Adversarial Mobile Money Fraud Detection System **An innovative AI system that uses adversarial training and reinforcement learning to detect mobile money fraud** ## Project Overview This project implements a cutting-edge adversarial fraud detection system specifically designed for mobile money transactions in African markets. Unlike traditional fraud detection systems, this approach uses: 1. **Generative Adversarial Networks (GANs)** - A generator creates sophisticated synthetic fraud while a discriminator learns to detect it 2. **Reinforcement Learning** - An RL agent learns optimal fraud strategies to make the detector more robust 3. **Multi-Strategy Fraud Simulation** - Tests against 6 different fraud attack patterns 4. **Self-Improving System** - The detector becomes stronger as the generator becomes more sophisticated ### Why This Approach is Unique - **Adversarial Training**: Simulates the real-world cat-and-mouse game between fraudsters and detection systems - **Proactive Defense**: Anticipates new fraud patterns before they emerge in the wild - **Explainable AI**: Provides clear explanations for why transactions are flagged - **African Context**: Specifically designed for mobile money platforms (M-Pesa, Airtel Money, MTN Mobile Money) - **Production-Ready**: Complete pipeline from training to deployment ## System Architecture ``` ┌─────────────────────────────────────────────────────────┐ │ ADVERSARIAL TRAINING SYSTEM │ ├─────────────────────────────────────────────────────────┤ │ │ │ ┌──────────────────┐ ┌──────────────────┐ │ │ │ Generator │ ──────> │ Discriminator │ │ │ │ (Fraudster AI) │ │ (Fraud Detector) │ │ │ │ │ <────── │ │ │ │ └──────────────────┘ feedback └──────────────────┘ │ │ ↑ ↓ │ │ │ …