Post-Quantum Cryptography Algorithm Selection via Machine Learning

The patent applies preliminary action by implementing post-quantum cryptography algorithms before quantum computers become widely deployed. The system proactively migrates from classical cryptographic schemes (RSA, ECC) to quantum-resistant algorithms (lattice-based, hash-based, code-based cryptography) to prevent future security breaches. This advance preparation ensures data security even against future quantum computing threats without waiting for quantum computers to actually break current systems.

The patent applies segmentation by dividing the cryptographic migration process into distinct modular components: key generation modules, encryption modules, decryption modules, and key management modules for different PQC algorithms. Each cryptographic primitive (lattice-based, hash-based, code-based) is implemented as a separate, independently manageable unit. This modular architecture reduces system complexity by allowing selective implementation and easier maintenance of quantum-resistant cryptography without overwhelming system integration challenges.

The patent introduces an intermediary layer that sits between classical cryptographic operations and quantum-resistant requirements. This intermediary includes a cryptographic algorithm selector that automatically chooses appropriate PQC algorithms based on data characteristics and threat models, and a key management system that handles both classical and post-quantum keys. This intermediary maintains ease of operation by abstracting the complexity of quantum-resistant cryptography, allowing users to benefit from quantum security without directly managing the computational complexity of PQC algorithms.