CONSENSUS.md

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

1. Initial node validation
2. Broadcast to validator pool
3. Collect validator responses
4. Calculate consensus result
5. 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.