The NovaNet Validator is a high-performance, AI-optimized blockchain node responsible for securing the NovaNet blockchain, validating transactions, and participating in Quantum Delegated Proof-of-Stake (Q-DPoS) consensus.
NovaNet Validators leverage quantum-resistant cryptography, AI-driven validation models, and low-power hardware optimizations to ensure scalability, security, and decentralization.
- AI-Optimized Validator Selection – Uses TensorRT acceleration on NVIDIA Jetson Orin Nano
- Quantum-Resistant Cryptography (PQC) – Prevents quantum-based decryption attacks
- Energy-Efficient Deployment – Runs on low-power edge devices and cloud infrastructures
- Quantum-Assisted Execution – Uses Quantum-Assisted Virtual Machine (QAVM) for optimized smart contract processing
🔗 NovaNet Validator GitHub Repository
A NovaNet Validator is a blockchain node that processes transactions, secures the network, and participates in governance using Quantum Delegated Proof-of-Stake (Q-DPoS).
| Function | Description |
|---|---|
| Transaction Validation | Verifies transactions and prevents fraud |
| Consensus Participation | Helps secure the network using Q-DPoS |
| Smart Contract Execution | Uses Quantum-Assisted Virtual Machine (QAVM) |
| Post-Quantum Security | Ensures resistance to quantum-based attacks |
| AI-Powered Validator Selection | Uses neural networks to prevent stake monopolization |
| AI-Optimized Staking Rewards | Ensures fair rewards distribution using TensorRT acceleration |
NovaNet Validators ensure decentralization, security, and efficiency in the blockchain ecosystem.
NovaNet Validators operate under the Quantum Delegated Proof-of-Stake (Q-DPoS) model, which enhances traditional DPoS with AI and quantum security.
- Stake-Based Selection – Users stake NOVA tokens to support validators.
- AI-Optimized Delegation Rotation (QADR) – Prevents validator monopolization.
- Quantum-Random Selection (QRNGs) – Ensures unbiased validator assignments.
Validators are secured using Lattice-Based Cryptography (LBC), preventing quantum decryption attacks.
- Quantum-Resistant Key Exchange (QRKE) – Uses CRYSTALS-DILITHIUM & FALCON
- AI-Driven Fraud Detection – Identifies malicious validators in real time
- Zero-Knowledge Proofs (ZKPs) for Privacy – Secures private transactions
NovaNet Validators are optimized for AI-driven processing on NVIDIA Jetson Orin Nano, using TensorRT acceleration for fast transaction validation.
| Optimization | Benefit |
|---|---|
| TensorRT-Optimized AI Models | Speeds up validator selection and fraud detection |
| Edge Computing Deployment | Runs on Jetson Orin Nano for low-power processing |
| GPU-Accelerated Smart Contract Execution | Uses NVIDIA CUDA cores for quantum-assisted execution |
| AI-Based Validator Ranking | Ensures fair stake distribution and prevents monopolization |
NovaNet Validators process transactions faster and more securely than traditional nodes.
This repository uses shared smart contracts hosted in the NovaNet-CommonContracts repository for security and efficiency.
| Contract Name | Function |
|---|---|
| Governance & Validator Management | |
NovaNetValidator.sol |
Manages validator registration, reputation tracking, and staking logic |
NovaNetGovernance.sol |
AI-enhanced decentralized governance with automated voting |
NovaNetTreasury.sol |
AI-powered treasury management for validator incentives |
AIVotingModel.sol |
AI-driven dynamic voting power adjustments |
AIValidatorReputation.sol |
Tracks validator performance and stake contributions |
AIValidatorAutoAdjustment.sol |
Automatically rotates validators based on AI-driven performance metrics |
AIGovernanceFraudDetection.sol |
Prevents governance manipulation via AI analysis |
AIAuditLogger.sol |
On-chain logging of validator governance actions |
| Quantum Security & Cryptography | |
QuantumSecureHasher.sol |
Quantum-resistant hashing for blockchain transactions |
QuantumResistantKeyExchange.sol |
Implements post-quantum key exchange for validator authentication |
QuantumDelegationSecurity.sol |
Ensures staking and delegation security using quantum encryption |
QuantumAssistedValidatorAuthentication.sol |
Secures validator access using post-quantum cryptographic methods |
| Validator & Delegation Automation | |
AIValidatorSelection.sol |
AI-driven validator selection and ranking |
AIQuantumDelegatorManager.sol |
Prevents validator centralization using AI-driven delegation models |
AIQuantumStakeOptimizer.sol |
Optimizes delegation weight based on validator trust scores |
AISlashingMonitor.sol |
Detects dishonest validators and removes them in real time |
NovaNetSlashing.sol |
Implements validator penalties and automated slashing logic |
AIRewardDistribution.sol |
AI-optimized staking and validator reward distribution |
NovaNet Validators can be deployed on Jetson Orin Nano, cloud servers, or local machines.
| Component | Requirement |
|---|---|
| CPU | Quad-Core ARM Cortex-A78AE |
| RAM | 8GB LPDDR5 |
| Storage | 64GB NVMe SSD |
| OS | Ubuntu 20.04 (L4T) |
| Software | NovaNet Validator Client |
NVIDIA Jetson Orin Nano enables validators to operate with ultra-low power consumption.
Validators earn rewards based on network participation and AI-driven stake contributions.
| Reward Type | Description |
|---|---|
| Base Block Reward (BBR) | 5 NOVA per block |
| AI-Optimized Staking Rewards | Earn based on validator reputation and stake weight |
| AI-Driven Fairness Scaling | Ensures rewards are distributed equitably |
| Quantum-Random Lottery Bonus | Periodic incentives for active validators |
Validators can earn passive income while securing NovaNet’s blockchain ecosystem.
- AI-based validator selection ensures stake fairness and prevents monopolization.
- Post-quantum cryptographic security prevents Sybil attacks and network manipulation.
- Low-power AI processing allows efficient validator operation on Jetson Orin Nano.
- Validators earn NOVA for securing and participating in network governance.
- Zero-Knowledge Proofs (ZKPs) ensure private transactions while maintaining security.
NovaNet Validators combine AI, quantum security, and energy efficiency for a next-generation blockchain.
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