🎯 Introduction

Modern fraud detection systems use sophisticated algorithms to analyze user behavior and device characteristics. This article provides a comprehensive overview of how these systems work.

🔍 Key Components

1. Browser Fingerprinting

Browser fingerprinting collects unique identifiers from your browser:

Canvas Fingerprint 🎨 - Unique rendering patterns

WebGL Fingerprint 🎮 - Graphics card signatures

Audio Fingerprint 🔊 - Audio processing characteristics

2. Behavioral Analysis

Systems track:

⌨️ Typing patterns and speed

🖱️ Mouse movement trajectories

📱 Touch gestures (mobile)

⏱️ Session timing patterns

3. Network Analysis

🌐 IP reputation and geolocation

🔒 VPN/Proxy detection

📡 WebRTC leak detection

🕐 Timezone consistency

📊 Score Calculation

The final fraud score is calculated using weighted factors:

Factor Weight | |--------|--------| IP Reputation 25% | Browser Fingerprint 20% | Behavioral Biometrics 20% | Device Consistency 15% | Account History 10% | Network Characteristics 10% |

🛡️ Protection Strategies

💡 Conclusion

Understanding fraud score calculations helps you maintain online privacy while avoiding false positives on legitimate platforms.