This directory contains comprehensive documentation for the client-side prover infrastructure that enables users to generate zero-knowledge proofs of their reputation scores for airdrop claims while preserving privacy.
- Architecture (module boundaries): architecture-diagram.mmd
- Claim flows (sequence): claim-flows-sequence.mmd
Purpose: Defines detailed Behavior-Driven Development scenarios for all client-side prover features
Key Content:
- Zero-knowledge proof generation scenarios
- EBSL algorithm integration requirements
- Web of trust state reading specifications
- Error handling and edge cases
- Performance and security requirements
Purpose: Comprehensive architecture for reading and processing global trust network state
Key Content:
- Trust network data layer design
- Scalable query engine architecture
- EBSL computation engine specifications
- Privacy-preserving query mechanisms
- Real-time updates and consistency models
Purpose: Defines specific proof types required for the airdrop system and implementation strategy
Key Content:
- Public proof claims with full transparency
- Private proof claims with privacy preservation
- Gated proof claims with selective disclosure
- Aggregate proof claims for multi-source reputation
- Verification strategies and optimization
Purpose: Detailed project roadmap with subtasks, timelines, and deliverables
Key Content:
- 16-week implementation timeline
- 12 major tasks broken down into manageable subtasks
- BDD scenarios for each development phase
- Risk management and mitigation strategies
- Success metrics and quality assurance
Purpose: Technical strategy for integrating EBSL algorithm with EZKL for ZK proof generation
Key Content:
- Mathematical framework and ZK-compatible implementation
- PyTorch to EZKL conversion pipeline
- Scalability architecture for arbitrary network sizes
- Aggregate proof implementation
- Performance optimization strategies
Purpose: Smart contract specification for on-chain proof verification
Key Content:
- Smart contract architecture and functions for verifying client-generated ZK proofs
- EBSL circuit design for zero-knowledge proofs
- Integration architecture and data flow
- Security considerations and gas optimization
- Comprehensive ABI specification for proof verification
- Documentation Complete: All architectural specifications documented
- EBSL Algorithm Integration: Core fusion logic implementation
- Trust Network Reader: Query infrastructure for web of trust
- Basic ZK Circuits: Threshold proof circuit implementation
- Proof Generation Service: API and workflow infrastructure
- Private Proofs: Privacy-preserving proof mechanisms
- Aggregate Proofs: Multi-source reputation combination
- Gated Proofs: Selective disclosure implementations
- Performance Optimization: Parallel processing and caching
- Scalability: Large network handling and optimization
- Security Audit: Comprehensive security review
- Frontend Integration: User interface and experience
- Testing & Validation: Complete test suite implementation
- Cross-Chain Support: Multi-blockchain proof portability
- Advanced Privacy: Anonymous credentials and membership proofs
- Production Deployment: Live system deployment and monitoring
- Start with BDD Specification: Read the BDD specification to understand all requirements and scenarios
- Review Architecture: Study the Global Web of Trust Architecture for system design
- Understand Proof Types: Read Airdrop Proof Types and Strategy for implementation details
- Follow Roadmap: Use the Technical Implementation Roadmap for development planning
- Implement EBSL: Follow the EBSL Algorithm Integration Strategy for core algorithm work
- Review Requirements: Start with the BDD Specification for complete feature requirements
- Understand Timeline: Use the Technical Implementation Roadmap for project planning
- Risk Assessment: Review risk management sections in roadmap and architecture documents
- Success Metrics: Track progress using metrics defined in roadmap documentation
- Threat Model: Review security considerations in Global Web of Trust Architecture
- Cryptographic Properties: Study ZK circuit designs in EBSL Algorithm Integration Strategy
- Smart Contract Security: Analyze ZKML On-Chain Verifier Specification
- Privacy Analysis: Review privacy-preserving mechanisms in proof type specifications
- EZKL: Zero-knowledge proof generation library
- PyTorch: Machine learning framework for EBSL implementation
- Node.js/TypeScript: Client-side implementation environment
- PostgreSQL: Trust network data storage
- Redis: Caching and real-time updates
- Ethereum/Polygon: Blockchain infrastructure for proof verification
- Zero-Knowledge Proofs: Understanding of ZK-SNARK/STARK protocols
- Subjective Logic: Mathematical foundation of EBSL algorithm
- Graph Algorithms: Trust network traversal and analysis
- Blockchain Development: Smart contract and Web3 integration
- TypeScript/JavaScript: Client-side development
- All new features must include corresponding BDD scenarios
- Architecture changes require updates to relevant specification documents
- Implementation changes should update the technical roadmap
- Security implications must be documented in appropriate sections
- Follow BDD methodology for all development
- Implement comprehensive test coverage (>95%)
- Include performance benchmarks for all critical paths
- Document all public APIs and integration points
- All code must pass security review
- Performance requirements must be validated
- Privacy properties must be formally verified where applicable
- Integration tests must cover all documented scenarios
- Notebooks/: EBSL algorithm reference implementation
- src/lib/components/ZKMLProver.svelte: Current proof generation UI
- src/lib/stores/zkproof.ts: Proof state management
- tests/: Existing test infrastructure
- EZKL Documentation: https://docs.ezkl.xyz/
- Subjective Logic Papers: Mathematical foundations and research
- Zero-Knowledge Learning Resources: ZK proof system education
- Web3 Development Guides: Blockchain integration tutorials
This documentation package requires approval from the following stakeholders before implementation begins:
- Lead Architect: Architecture and design review
- ZK Specialist: Cryptographic protocol validation
- Security Lead: Security model and threat analysis
- Performance Engineer: Scalability and optimization review
- Product Owner: Feature completeness and user experience
- Project Manager: Timeline and resource allocation
- Compliance Officer: Regulatory and privacy compliance
- Development Team: Technical feasibility and resource commitment
- QA Team: Testing strategy and automation readiness
- DevOps Team: Infrastructure and deployment planning
Once all approvals are obtained, development can proceed according to the phases outlined in the Technical Implementation Roadmap.
Next Steps: After documentation approval, the first implementation task should be TASK-001: EBSL Algorithm Client Integration as defined in the roadmap.