A hybrid hash framework for post quantum secure zero knowledge identification.

Area of Science:

• Cryptography and Information Security
• Quantum Computing Impact
• Post-Quantum Cryptography

Background:

• Quantum computing presents significant threats to classical cryptographic methods, including hash-based authentication and zero-knowledge identification (ZKI).
• Algorithms like Grover's and Shor's can compromise existing security protocols, necessitating the development of quantum-resistant solutions.

Purpose of the Study:

• To establish a comprehensive benchmarking framework for assessing the quantum resistance of cryptographic hash functions.
• To introduce and validate a novel hybrid hashing strategy for enhanced post-quantum resilience in authentication systems.

Main Methods:

• Developed a benchmarking framework evaluating performance (time, memory), statistical properties (entropy, randomness), and security (collision/preimage resistance).
• Implemented and simulated a hybrid hashing strategy integrating SHA-512 and BLAKE3.
• Validated efficacy using Grover's algorithm simulations to assess computational workload against quantum search algorithms.

Main Results:

• Classical hash functions (e.g., SHA-256, SHA-512) show reduced security against quantum threats.
• The proposed hybrid hashing strategy demonstrates practical risk mitigation with acceptable computational overhead.
• The framework effectively evaluates increased workload for quantum algorithms compared to classical hashes.

Conclusions:

• The hybrid hashing approach offers a viable pathway for safeguarding authentication systems against quantum adversaries.
• Systematic assessment and practical implementation of quantum-resistant solutions are facilitated by the developed framework.
• The study provides a methodology for evaluating and enhancing cryptographic resilience in the quantum era.