FraudGuard

UPI Security System
1,247 Safe Today
23 Blocked Today
99.2% Accuracy

Quick Analysis

Transaction Checker

Real-time Analysis

Total Transactions

+12.5% vs yesterday
15,847
14,392 Safe 1,455 Blocked

Detection Rate

+0.3% accuracy
99.2%
False Positives: 0.5%

Risk Score

-5.2% vs last week
2.8%
Average fraud probability

Response Time

-12ms faster
45ms
Average processing time

Fraud Detection Trends

Risk Distribution

Transaction Volume

Real-time Activity

TXN001 - ₹1,500
Just now • Amazon
TXN002 - ₹45,000
2 mins ago • Unknown
TXN003 - ₹850
3 mins ago • Grocery Store

Machine Learning Models

Advanced ensemble of AI models for fraud detection

Advanced Ensemble

Active
Accuracy 98.7%
Precision 96.2%
Recall 94.8%

GNN-Transformer

Training
Accuracy 97.3%
Precision 95.1%
Recall 93.7%

Reinforcement Learning

Active
Reward +2.34
Episodes 1,247
Success Rate 89.2%

Security Alerts

Real-time monitoring and alert management

High-Risk Transaction Detected

Unusual transaction pattern detected from IP: 192.168.1.100

2 minutes ago

Model Performance Update

GNN-Transformer model completed training with 97.3% accuracy

15 minutes ago

System Health Check

All systems operational, fraud detection rate: 99.2%

1 hour ago

System Settings

Configure fraud detection parameters and notifications

Fraud Detection Thresholds

0.8
0.5

Notification Settings

Data Processing

Processing...
Analytics ML Models Alerts Settings

Dashboard Overview

Transaction Volume

0
+12.5% from yesterday

Fraud Rate

0.02%
+0.01% from yesterday

Model Accuracy

98.7%
+0.3% from last week

Response Time

45ms
-5ms from yesterday

Real-time Transactions

Fraud Detection Trends

Model Performance

XGBoost
94%
LightGBM
92%
Random Forest
89%
Isolation Forest
87%

Transaction Analysis

Advanced Analytics

Federated Learning Status

Participating Banks 5
Global Model Accuracy 96.8%
Privacy Level High

Blockchain Audit Trail

Blocks Mined 1,247
Audit Records 45,892
Integrity Score 100%

Threat Intelligence

High Risk IPs: 23
Medium Risk: 156
Low Risk: 1,234

Machine Learning Models

Advanced Ensemble

Active
Accuracy 98.7%
Precision 96.2%
Recall 94.8%

GNN-Transformer

Training
Accuracy 97.3%
Precision 95.1%
Recall 93.7%

Reinforcement Learning

Active
Reward +2.34
Episodes 1,247
Success Rate 89.2%

Security Alerts

System Settings

Fraud Detection Thresholds

0.8
0.5

Notification Settings

Processing...