Security isn't just a feature—it's a fundamental requirement in blockchain systems. At TRAST, we've built a multi-layered protection framework that goes beyond traditional security models, integrating
Introduction
In the blockchain ecosystem, security and trust are paramount. Trast's comprehensive security system combines ai-powered threat detection, community-driven trust metrics, and advanced protection mechanisms to create a safe and reliable platform for all users.
Trust framework
Trust score calculation
The system uses multiple factors to determine trust:
Trust metrics
- User history
- Community reputation
- Activity quality
- Verification level
- Time factor
Score components
Trust score = base score + modifiers
- Base: 0-100 points
- History bonus: +0-50
- Verification: +0-30
- Community rating: +0-20
Reputation system
User levels
Level 1: new user
- Basic access
- Limited features
- Standard protection
Level 2: verified user
- Enhanced access
- More features
- Extra protection
Level 3: trusted member
- Full access
- All features
- Maximum protection
Recovery steps
1. Secure affected areas
2. Investigate incident
3. Implement fixes
4. Restore services
5. Update protection
Support actions
- User assistance
- Data recovery
- Access restoration
- Security updates
Best practices
For users
Enable all security features
Use strong authentication
Monitor account activity
Report suspicious behavior
Follow safety guidelines
For projects
Complete security audit
Implement safeguards
Monitor transactions
Maintain transparency
Respond to concerns
Success metrics
Security performance
Key indicators
- Threat prevention rate
- Response time
- Recovery speed
- User protection
Target metrics
- 99.9% Uptime
- <1min response
- 100% Recovery
- Zero user losses
Trust growth
Trust metrics
- User confidence
- Platform reliability
- Community safety
- System integrity
Conclusion
Trast's multi-layered security and trust system provides comprehensive protection through AI technology, community participation, and advanced security measures. By combining automated systems with human oversight, the platform ensures a safe and trustworthy environment for all users.
