Fraud Intelligence Dashboard

Advanced Pattern Recognition & User Quality Analytics

LIVE MONITORING

Fraud Detection Intelligence

🔴 CRITICAL FINDING: Install Farm Network

30,643 devices (17.3%) identified as install farms

Single session, <5 events. Classic CPI fraud harvesting rewards without engagement. Attribution partners notified.

🔍 FRAUD MO PATTERNS

Bot networks exhibit 0.01% variance in touch coordinates. Install farms show 94% single-session rates. Click stuffing displays sub-100ms click-to-install timing impossible for humans.

💡 IMPACT METRICS

Blocking 2,847 fraudulent installs daily. Preventing 94,231 fake events per week. Protection rate: 89% with <2% false positives across 1.2M monthly active users.

🚨 EMERGING THREATS

ML-powered fraud adapts to detection rules within 48 hours. Implement ensemble models with behavioral biometrics and graph-based anomaly detection for resilient defense.

Pure Fraud Rate

12.3%

65% reduction achieved

Game Issues

8,234

142 new insights today

Data Quality

97.2%

12% improvement

Fraud Events Blocked

8,452

+1,847 vs yesterday

Pattern Distribution Analysis

Platform Performance Matrix

Categorized Detection Intelligence

🔴 Pure Fraud

BLOCK
Click Injection 2,847
Install Farms 4,231
Bot Networks 1,956
Total Detected 32,123
Percentage 17.3%

🟡 Game Issues

ANALYZE
Tutorial Skippers 12,458
Quick Churners 18,923
Non-Monetizers 8,745
Total Detected 42,389
Percentage 22.8%

🟢 Data Quality

FIX
Missing Events 892
SDK Issues 1,234
Timezone Errors 567
Total Detected 60,592
Percentage 32.6%

Advanced Fraud Modus Operandi & Detection Strategies

Click Injection Fraud

Fraudsters monitor app installs and inject fake clicks milliseconds before attribution

→ Detection: Click-to-install < 10 seconds
→ Pattern: 87% occur at night (2-5 AM)
→ Signal: No pre-install engagement

Device Farm Operations

Physical farms with 100+ devices running automated scripts for installs/events

→ Detection: IP clustering (>20 devices)
→ Pattern: Sequential device IDs
→ Signal: Identical hardware profiles

Sophisticated Bot Networks

AI-powered bots mimicking human behavior with distributed infrastructure

→ Detection: Touch entropy < 0.1%
→ Pattern: Perfect timing intervals
→ Signal: No accelerometer data

SDK Spoofing Attacks

Modified SDKs sending fake events directly to attribution servers

→ Detection: Mismatched SDK versions
→ Pattern: Events without app opens
→ Signal: Invalid event sequences

Incentivized Install Fraud

Users paid to install/uninstall repeatedly for CPI campaign exploitation

→ Detection: Reinstall rate > 40%
→ Pattern: Uninstall within 24 hours
→ Signal: Zero in-app purchases

Emulator-Based Fraud

Virtual devices at scale bypassing device-based detection methods

→ Detection: Missing sensor data
→ Pattern: Generic device models
→ Signal: No battery drain patterns

Live Detection Stream Auto-updating

Detection Confidence Levels

Click Injection 98.2%

2,847 blocked today

Device Farms 94.7%

4,231 blocked today

Emulator Fraud 92.1%

1,523 blocked today

Bot Networks 91.3%

1,956 blocked today

SDK Spoofing 88.5%

892 blocked today

Incentive Abuse 85.9%

678 blocked today

Fraud Intelligence Platform v2.0 | Real-time Analytics Engine | Last Updated: