mirror of
https://github.com/SamyRai/turash.git
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000eab4740
Repository Structure:
- Move files from cluttered root directory into organized structure
- Create archive/ for archived data and scraper results
- Create bugulma/ for the complete application (frontend + backend)
- Create data/ for sample datasets and reference materials
- Create docs/ for comprehensive documentation structure
- Create scripts/ for utility scripts and API tools
Backend Implementation:
- Implement 3 missing backend endpoints identified in gap analysis:
* GET /api/v1/organizations/{id}/matching/direct - Direct symbiosis matches
* GET /api/v1/users/me/organizations - User organizations
* POST /api/v1/proposals/{id}/status - Update proposal status
- Add complete proposal domain model, repository, and service layers
- Create database migration for proposals table
- Fix CLI server command registration issue
API Documentation:
- Add comprehensive proposals.md API documentation
- Update README.md with Users and Proposals API sections
- Document all request/response formats, error codes, and business rules
Code Quality:
- Follow existing Go backend architecture patterns
- Add proper error handling and validation
- Match frontend expected response schemas
- Maintain clean separation of concerns (handler -> service -> repository)
65 lines
2.6 KiB
Markdown
65 lines
2.6 KiB
Markdown
## 12. Security & Compliance
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### Data Privacy & GDPR Compliance
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**Requirements**:
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1. **Data Minimization**: Only collect necessary data
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2. **Consent Management**: Explicit consent for data sharing
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3. **Right to Erasure**: Ability to delete user data
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4. **Data Portability**: Export user data in machine-readable format
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5. **Privacy by Design**: Default privacy settings, data encryption
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**Implementation**:
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- Data classification (public, private, confidential)
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- Encryption at rest and in transit
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- Pseudonymization for analytics
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- Audit logging of data access
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- Data retention policies and automated cleanup
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### Confidentiality & Trust Features
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**Features**:
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1. **Selective Data Sharing**:
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- Businesses choose what data is public vs. visible only to matches
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- Anonymous matching (reveal identity only after mutual interest)
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2. **Data Masking**:
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- Hide exact quantities (show ranges: "10-50 MWh/month")
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- Hide exact locations (show approximate: "within 2km of...")
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3. **Trust Scores**:
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- Verified businesses (government registration, certifications)
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- Transaction history (successful matches, ratings)
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- Platform reputation system
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4. **Secure Match Introductions**:
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- Platform mediates initial contact
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- NDA templates for sensitive negotiations
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- Secure messaging within platform
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### Security Infrastructure
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**Security Targets**:
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- **Data Breach Prevention**: Zero data breaches in production
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- **Compliance**: 100% GDPR compliance audit pass rate
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- **Vulnerability Management**: <24 hour patching for critical vulnerabilities
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- **Access Control**: 100% of sensitive operations logged and auditable
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**Implementation Details**:
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- **Secrets Management**: AWS Secrets Manager with automatic rotation (<30 days)
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- **Container Scanning**: Trivy + Snyk integrated in CI/CD (0 critical vulnerabilities allowed)
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- **Dependency Scanning**: Automated weekly scans, automated patching for non-breaking updates
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- **WAF**: CloudFlare with custom rules for API protection (blocks 99.9% of malicious traffic)
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- **Database Encryption**: AES-256 encryption at rest, TLS 1.3 in transit
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- **API Security**: JWT tokens with 15-minute expiration, refresh token rotation
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- **Network Security**: VPC isolation, security groups, network ACLs
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- **Monitoring**: Real-time security event detection and alerting
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**Security Operations**:
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- **Incident Response**: <1 hour detection, <4 hours containment, <24 hours resolution
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- **Penetration Testing**: Quarterly external audits, automated vulnerability scanning
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- **Access Reviews**: Quarterly access privilege reviews and cleanup
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- **Security Training**: Annual security awareness training for all team members
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---
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