Quantum Enhanced Entropy Pool for Cryptographic Applications and Proofs

This paper investigates the integration of quantum randomness into Verifiable Random Functions (VRFs) using the Ed25519 elliptic curve to strengthen cryptographic security. By replacing traditional pseudorandom number generators with quantum entropy sources, we assess the impact on key security and performance metrics, including execution time, and resource usage. Our approach simulates a modified VRF setup where initialization keys are derived from a quantum random number generator source (QRNG). The results show that while QRNGs could enhance the unpredictability and verifiability of VRFs, their incorporation introduces challenges related to temporal and computational overhead. This study provides valuable insights into the trade-offs of leveraging quantum randomness in API-driven cryptographic systems and offers a potential path toward more secure and efficient protocol design. The QRNG-based system shows increased (key generation times from 50 to 400+ µs, verification times from 500 to 3500 µs) and higher CPU usage (17% to 30%) compared to the more consistent performance of a Go-based VRF (key generation times below 200 µs, verification times under 2000 µs, CPU usage below 10%), highlighting trade-offs in computational efficiency and resource demands.

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Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/fnwf63303.2024.11028709
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantum Enhanced Entropy Pool for Cryptographic Applications and Proofs

Riccardo Bassoli, Milad Ghadimi, Mohammad Shojafar, Frank H. P. Fitzek et al.
Cryptographic Implementations and Security
article

Quantum Enhanced Entropy Pool for Cryptographic Applications and Proofs

Riccardo Bassoli, Milad Ghadimi, Mohammad Shojafar, Frank H. P. Fitzek, Gabriele Gradoni, Sonai Biswas, Buniechukwu Njoku
article en

Abstract

This paper investigates the integration of quantum randomness into Verifiable Random Functions (VRFs) using the Ed25519 elliptic curve to strengthen cryptographic security. By replacing traditional pseudorandom number generators with quantum entropy sources, we assess the impact on key security and performance metrics, including execution time, and resource usage. Our approach simulates a modified VRF setup where initialization keys are derived from a quantum random number generator source (QRNG). The results show that while QRNGs could enhance the unpredictability and verifiability of VRFs, their incorporation introduces challenges related to temporal and computational overhead. This study provides valuable insights into the trade-offs of leveraging quantum randomness in API-driven cryptographic systems and offers a potential path toward more secure and efficient protocol design. The QRNG-based system shows increased (key generation times from 50 to 400+ µs, verification times from 500 to 3500 µs) and higher CPU usage (17% to 30%) compared to the more consistent performance of a Go-based VRF (key generation times below 200 µs, verification times under 2000 µs, CPU usage below 10%), highlighting trade-offs in computational efficiency and resource demands.

University of Surrey (GB), Deutsche Telekom (Germany) (DE)
Ministry of Education
Openalex Percentile: Top 72%
Cryptographic Implementations and Security
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Quantum Enhanced Entropy Pool for Cryptographic Applications and Proofs — Riccardo Bassoli, Milad Ghadimi, et al. · (2024) | TGRS Research Map | TGRS