Real-Time Payment Anomaly Detection & Adaptive Defense (Issue #991)

[Ayaanshaikh12243]

close #991

Real-Time Payment Anomaly Detection & Adaptive Defense (Issue #991)

Summary

This PR introduces a scalable, modular real-time fraud detection system for payment transactions. It leverages streaming analytics and unsupervised machine learning (KMeans, DBSCAN) to detect anomalies and trigger automated defense actions, replacing legacy rule-based approaches with adaptive, AI-driven mechanisms.

Features

• Streaming analytics engine for real-time transaction ingestion
• Unsupervised ML (KMeans, DBSCAN) for anomaly detection and outlier scoring
• Automated defense actions (block, flag, require 2FA, escalate, audit log)
• Modular dashboard UI for alerts, defense actions, transaction monitoring, and charts
• Utility functions for normalization, risk scoring, feature engineering, and formatting
• Extensible codebase (500+ lines) for future enhancements

Benefits

• Detects sophisticated, adversarial fraud tactics in real time
• Adapts to evolving fraud patterns without manual rule updates
• Enables automated, rapid defense responses and audit logging
• Provides rich dashboard for monitoring, filtering, and exporting alerts

Files Added/Modified

• public/fraud-ml-engine.js (ML logic, clustering, outlier scoring)
• public/fraud-stream-connector.js (streaming ingestion, batch, error simulation)
• public/fraud-defense-actions.js (multi-step defense, audit log, notifications)
• public/fraud-dashboard.js (dashboard logic, charts, filters, export)
• public/fraud-dashboard.html (dashboard UI)
• public/fraud-dashboard.css (responsive design, themes, animations)
• public/fraud-utils.js (normalization, helpers, feature engineering)

How to Use

1. Open fraud-dashboard.html in your browser
2. Click "Start Monitoring" to view real-time alerts and defense actions
3. Use dashboard filters and export features for analysis

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Closes #991

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🎉 Thanks for the PR, @Ayaanshaikh12243!

We really appreciate you taking the time to contribute to ExpenseFlow! 💙

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✅ PR Checklist

Before we review, please ensure:

• Your code follows the project's coding standards
• All file changes are accurate and intentional
• You've tested your changes locally
• Any review comments have been addressed

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We truly appreciate your interest in contributing to this project.

• Please make sure your code follows the project structure
• Add clear commit messages and comments where necessary
• Ensure your changes do not break existing functionality

We'll review your PR as soon as possible. Keep up the great work! ✨

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Project	Deployment	Actions	Updated (UTC)
expenseflow	Error		Mar 5, 2026 3:08pm