LBC - Galactic-Code-Developers/NovaNet GitHub Wiki

Lattice-Based Cryptography

Introduction

Lattice-based cryptography (LBC) is a post-quantum cryptographic system that ensures secure encryption, digital signatures, and key exchange while remaining resistant to quantum computing attacks.

Traditional cryptographic algorithms like RSA and ECC will become obsolete once quantum computers can efficiently solve their underlying mathematical problems using Shor’s Algorithm.
NovaNet integrates Lattice-Based Cryptography (LBC) to:

  • Ensure post-quantum security for transactions, wallets, and smart contracts
  • Secure validator authentication and decentralized identities
  • Enable quantum-resistant encryption and key exchange mechanisms
  • Support high-speed digital signatures for smart contracts and cross-chain communication

1. Why Traditional Cryptography Is Not Quantum-Secure

Quantum computers can efficiently break RSA, ECC, and Diffie-Hellman encryption, posing a major threat to blockchain security.

Cryptographic Algorithm Security Against Classical Computers Vulnerability to Quantum Attacks
RSA-2048 Secure Broken by Shor’s Algorithm
ECC-256 Secure Easily cracked by quantum computers
SHA-256 Secure Grover’s Algorithm weakens resistance
Lattice-Based Cryptography Secure Quantum-Resistant
  • LBC remains secure even in a post-quantum world

2. How Lattice-Based Cryptography Works

Lattice-based cryptography relies on high-dimensional vector spaces that quantum computers cannot easily solve.
It is based on hard lattice problems, such as:

  • Learning With Errors (LWE) – Used for secure encryption and key exchange.
  • Shortest Vector Problem (SVP) – Used for post-quantum digital signatures.
  • NTRU (Nth-degree truncated polynomial ring units) – Used for efficient lattice-based encryption.

2.1 Learning With Errors (LWE) for Key Exchange

The LWE problem is a hard mathematical problem used for quantum-secure encryption and key exchange.

Mathematical Model for LWE Encryption:

A secret key $$S$$ and public key $$P$$ are generated as:

$$P = S \cdot A + e$$

Where:

  • $$S$$ is the private key
  • $$A$$ is a random lattice matrix
  • $$e$$ is a small noise term (error vector)
  • Even quantum computers cannot efficiently solve for $$S$$
  • Ensures secure key exchange for validator authentication

2.2 NTRU for Post-Quantum Encryption

The NTRU (Nth-degree truncated polynomial ring units) cryptosystem is a lattice-based encryption algorithm used in NovaNet for secure transactions.

Mathematical Model for NTRU Encryption:

  1. Key Generation:
    • A secret polynomial $$(x)$$ and a public polynomial $$h(x)$$ are chosen.
    • The public key is computed as:

$$h(x) = f^{-1}(x) \cdot g(x) \mod q$$

  1. Encryption of a Message $$m(x)$$:
    • A random polynomial $$r(x)$$ is selected.
    • The encrypted ciphertext $$C(x)$$ is computed as:

$$C(x) = r(x) \cdot h(x) + m(x) \mod q$$

  • Efficient and scalable post-quantum encryption model
  • Used for secure blockchain transactions and cross-chain messaging

2.3 Lattice-Based Digital Signatures

Lattice-based cryptographic signatures replace ECDSA and RSA signatures, ensuring long-term quantum resistance.

  • Fast and efficient digital signatures for blockchain transactions
  • Prevents quantum-based forgery and identity theft

Mathematical Model for Lattice-Based Signatures:

A private key $$S$$ generates a lattice-based signature:

$$\sigma = H_{LBC}(m) \cdot S + e$$

Where:

  • $$H_{LBC}$$ is a lattice-based cryptographic hash function
  • $$m$$ is the message being signed
  • $$S$$ is the secret signing key
  • $$e$$ is the error vector ensuring security
  • Ensures post-quantum security for blockchain transactions and validator authentication

3. Key Features of Lattice-Based Cryptography

Feature Traditional Cryptography Lattice-Based Cryptography (LBC)
Key Exchange RSA, ECC LWE-Based Cryptography
Encryption AES, SHA NTRU Lattice-Based Encryption
Digital Signatures ECDSA, RSA Lattice-Based Signatures
Quantum Security Vulnerable Quantum-Resistant
Blockchain Security Moderate Ultra-Secure with Post-Quantum Encryption
  • NovaNet ensures long-term security with Lattice-Based Cryptography

4. Implementation in NovaNet

NovaNet integrates Lattice-Based Cryptography (LBC) across multiple layers:

  • Layer-1: NovaChain (Quantum-Secured DPoS Blockchain Core)

  • Layer-2: NovaZK (Quantum-Assisted ZK-Rollups for Secure Transactions)

  • Validator Authentication: LBC ensures validator key security

  • Cross-Chain Messaging: NTRU encryption secures interoperability

  • Provides a fully quantum-resistant blockchain infrastructure

5. Conclusion: Why LBC is the Future of Blockchain Security

NovaNet’s Lattice-Based Cryptography ensures:

  • Post-Quantum Security – Prevents attacks from future quantum computers.
  • Efficient Key Exchange – LWE-based cryptography ensures ultra-fast encryption.
  • Scalability & Performance – NTRU encryption provides rapid transaction validation.
  • Enhanced Privacy – Quantum-resistant cryptographic hashes prevent unauthorized decryption.

LBC is the foundation of a secure, quantum-proof blockchain ecosystem!

6. Related Links

🔗 NovaNet Whitepaper
🔗 Post-Quantum Cryptographic Protection (PQCP)
🔗 Quantum-Assisted Virtual Machine (QAVM)
🔗 Quantum Delegated Proof-of-Stake (Q-DPoS)

7. How to Contribute

NovaNet’s Lattice-Based Cryptographic Security is open-source, and we welcome contributions! You can help by:

  • Forking the repository and submitting pull requests.
  • Improving documentation and updating cryptographic models.
  • Providing research on Lattice-Based Cryptography applications.

Start contributing: GitHub Repository

📢 Join the NovaNet Community!
💬 Discord: Join Discussion
📢 Twitter: @NovaNet_Official
👨‍💻 Telegram: Community Chat

Lattice-Based Cryptography is redefining blockchain security in a post-quantum world!