The advent of quantum computing poses substantial risks to conventional cryptographic mechanisms, particularly hash-based authentication and zero-knowledge identification (ZKI) protocols, which are susceptible to quantum algorithms such as Grover's and Shor's. This study presents a comprehensive benchmarking framework for evaluating the quantum resistance of cryptographic hash functions through performance metrics (execution time, memory utilization), statistical characteristics (entropy, bit-level randomness, avalanche effect), and security attributes (collision and preimage resistance) across diverse input sizes and edge conditions. A novel hybrid hashing strategy, integrating SHA-512 and BLAKE3 in a defense-in-depth configuration, is introduced to enhance post-quantum resilience. Its efficacy is validated via Grover's algorithm simulations, demonstrating a methodology for evaluating the increased computational workload for quantum search algorithms relative to conventional hash functions. The framework incorporates visualization utilities and structured reporting modules, enabling systematic assessment and practical implementation of quantum-resistant cryptographic solutions within ZKI systems. Findings indicate that while classical hashes such as SHA-256 and SHA-512 exhibit theoretically diminished security in quantum threat scenarios, the proposed hybrid method acts as a practical risk mitigation strategy with acceptable computational overhead, providing a viable pathway for safeguarding authentication systems against quantum-capable adversaries.
Bhadane et al. (Wed,) studied this question.
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