Consensus Validation Framework
Overview
The DataHive consensus validation system ensures data quality and reliability across the distributed network of LN1 nodes through multi-node verification and agreement protocols.
Core Components
Validation Process
- Initial document verification
- Cross-node data comparison
- Consensus achievement tracking
- Validation state management
Consensus Mechanisms
class ConsensusValidator:
def __init__(self):
self.validators = []
self.threshold = 0.67 # 2/3 majority required
self.validation_pool = ValidationPool()
async def validate_entry(self, entry):
validations = await self.collect_validations(entry)
consensus = self.calculate_consensus(validations)
return self.finalize_validation(consensus)
Validation Rules
Document Validation
- Source verification
- Content integrity checks
- Metadata validation
- Format compliance
Network Consensus
- Minimum validator participation
- Threshold requirements
- Timeout parameters
- Conflict resolution
Integration Points
Node Communication
- Validation request broadcasting
- Result aggregation
- State synchronization
- Conflict notification
Data Processing
- Pre-validation checks
- Post-consensus actions
- State updates
- Index synchronization
Operational Flow
Validation Sequence
- Initial node validation
- Broadcast to validator pool
- Collect validator responses
- Calculate consensus result
- Update network state
Error Handling
- Timeout management
- Conflict resolution
- Recovery procedures
- State reconciliation
Security Measures
Validation Security
- Validator authentication
- Result verification
- Manipulation prevention
- Audit trail maintenance
Network Protection
- Sybil attack prevention
- Byzantine fault tolerance
- Malicious node detection
- Network state protection
Note: This documentation is subject to updates as the consensus system evolves.