This document outlines the security measures, protocols, and best practices implemented in the DataHive LN1 node to ensure data integrity, privacy, and system security.
class SecurityManager:
def security_layers(self):
return {
"network": "Transport Layer Security",
"data": "End-to-End Encryption",
"access": "Role-Based Access Control",
"node": "Secure Enclave Protection"
}- Multi-factor authentication (MFA)
- Public key infrastructure (PKI)
- JWT token validation
- Session management
interface AccessControl {
roles: {
admin: string[],
validator: string[],
reader: string[],
curator: string[]
},
permissions: {
read: boolean,
write: boolean,
validate: boolean,
manage: boolean
}
}- AES-256 for data at rest
- TLS 1.3 for data in transit
- Homomorphic encryption for private computations
- Secure key management
class PrivacyManager:
def privacy_controls(self):
return [
"Data anonymization",
"Personal data masking",
"Consent management",
"Access logging"
]- Secure P2P protocols
- Network segregation
- DDoS protection
- Traffic encryption
# Example firewall configuration
ufw default deny incoming
ufw default allow outgoing
ufw allow 8545/tcp # LN1 API
ufw allow 30303/tcp # P2P
ufw allow 22/tcp # SSH (restricted)class SecurityMonitor:
def monitor_metrics(self):
return {
"intrusion_detection": self.ids_status(),
"anomaly_detection": self.check_anomalies(),
"access_patterns": self.analyze_access(),
"system_health": self.check_health()
}- Detection & Analysis
- Containment
- Eradication
- Recovery
- Post-incident Review
class AuditLogger:
def log_events(self, event):
return {
"timestamp": "ISO8601 timestamp",
"event_type": "action_type",
"user_id": "authenticated_user",
"resource": "affected_resource",
"action": "performed_action",
"result": "action_result"
}- GDPR compliance
- Data sovereignty
- Regulatory reporting
- Audit trails
- Static code analysis
- Dependency scanning
- Security testing
- Code review process
security_pipeline:
stages:
- static_analysis
- dependency_check
- security_testing
- vulnerability_scan- Regular security updates
- Automated patch management
- Version control
- Rollback procedures
class SecurityTester:
def security_tests(self):
return [
"Penetration testing",
"Vulnerability scanning",
"Security benchmarking",
"Compliance checking"
]- Regular data backups
- Secure backup storage
- Recovery testing
- Backup validation
class DisasterRecovery:
def recovery_procedures(self):
return {
"backup_restore": "Data restoration process",
"system_recovery": "System rebuild steps",
"service_continuity": "Service maintenance",
"communication": "Stakeholder notification"
}- Regular security training
- Password policies
- Access review
- Incident reporting
- Security team contact
- Emergency response
- Vulnerability reporting
- Support channels
- Regular security patches
- Emergency fixes
- Version control
- Update verification
class SecurityConfig:
def secure_configs(self):
return {
"tls_version": "1.3",
"cipher_suites": "Strong ciphers only",
"key_rotation": "90 days",
"session_timeout": "1 hour"
}