System Configuration & Setup
Configure your Fiducia integration and set up the AI-powered trust verification system.
Environment Configuration
Configure your Fiducia integration by setting up the following environment variables:
Required Configuration
# Fiducia API Configuration FIDUCIA_API_URL=https://api.fiducia.com FIDUCIA_API_KEY=your_api_key_here FIDUCIA_NODE_ID=your_node_id_here # Wallet Configuration WALLET_PRIVATE_KEY=your_wallet_private_key WALLET_ADDRESS=your_wallet_address # AI Model Configuration AI_MODEL_ENDPOINT=https://ai.fiducia.com/v1/models AI_MODEL_API_KEY=your_ai_model_key # Database Configuration DATABASE_URL=your_database_connection_string
Optional Configuration
# Monitoring Configuration ENABLE_REAL_TIME_MONITORING=true MONITORING_INTERVAL=300 # seconds ALERT_EMAIL=alerts@yourdomain.com # Security Configuration ENABLE_HARDWARE_FINGERPRINTING=true ENABLE_BEHAVIORAL_ANALYSIS=true SECURITY_LEVEL=high # low, medium, high
Node Registration
1. Hardware Profiling
# Run hardware profiling to generate device fingerprint curl -X POST https://api.fiducia.com/v1/nodes/profile \ -H "Authorization: Bearer YOUR_API_KEY" \ -d '{ "hardware_specs": { "cpu_model": "Intel i7-10700K", "memory_size": "32GB", "storage_type": "NVMe SSD", "network_interface": "Gigabit Ethernet" } }'
2. Trust Score Initialization
# Initialize baseline trust score curl -X POST https://api.fiducia.com/v1/nodes/{node_id}/trust/initialize \ -H "Authorization: Bearer YOUR_API_KEY" \ -d '{ "baseline_metrics": { "expected_uptime": 99.5, "expected_response_time": 50, "expected_throughput": 1000 } }'
AI Model Integration
1. RIM Module Setup
# Python example for RIM integration import fiducia_rim # Initialize RIM model rim_model = fiducia_rim.ResourceIntegrityModule( api_key=os.getenv('AI_MODEL_API_KEY'), node_id=os.getenv('FIDUCIA_NODE_ID') ) # Start anomaly detection rim_model.start_monitoring( data_source='system_metrics', detection_threshold=0.85 )
2. IOM Module Configuration
# Configure incentive optimization iom_config = { 'reward_structure': { 'honest_behavior': 1.0, 'anomaly_detection': 0.8, 'malicious_activity': -1.0 }, 'learning_rate': 0.001, 'update_frequency': 3600 # seconds } iom_model = fiducia_iom.IncentiveOptimizationModule(config=iom_config)
Dashboard Configuration
1. Real-time Monitoring Setup
// JavaScript example for dashboard integration const fiduciaDashboard = new FiduciaDashboard({ apiKey: process.env.FIDUCIA_API_KEY, nodeId: process.env.FIDUCIA_NODE_ID, refreshInterval: 5000, // 5 seconds alertThreshold: 0.7 }); // Start monitoring fiduciaDashboard.startMonitoring();
2. Alert Configuration
{ "alerts": { "trust_score_drop": { "threshold": 0.6, "notification": "email", "recipients": ["admin@yourdomain.com"] }, "anomaly_detected": { "threshold": 0.8, "notification": "webhook", "webhook_url": "https://your-webhook.com/alerts" } } }
Security Best Practices
API Key Management
- Store API keys in secure environment variables
- Rotate keys regularly (every 90 days)
- Use different keys for different environments
Network Security
- Use HTTPS for all API communications
- Implement rate limiting on your side
- Monitor for suspicious activity
Data Privacy
- Only submit necessary metrics
- Implement data retention policies
- Use encryption for sensitive data
Monitoring & Alerts
- Set up comprehensive logging
- Configure alerts for security events
- Regular security audits