A hybrid hash framework for post quantum secure zero knowledge identification

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.

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Publication Details

Journal
Scientific Reports
Published
2025-11-26
DOI
https://doi.org/10.1038/s41598-025-26117-7
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
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article

A hybrid hash framework for post quantum secure zero knowledge identification

Deepak Gupta, Priyanka V. Deshmukh, N. C. Mishra, Samarth Bhadane
Scientific Reports
Cryptographic Implementations and Security
article

A hybrid hash framework for post quantum secure zero knowledge identification

Deepak Gupta, Priyanka V. Deshmukh, N. C. Mishra, Samarth Bhadane
article en

Abstract

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.

Scientific ReportsVol. 15(1)
Symbiosis International University (IN)
Openalex Percentile: Top 80%
Cryptographic Implementations and Security
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A hybrid hash framework for post quantum secure zero knowledge identification — Deepak Gupta, Priyanka V. Deshmukh, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS