Publications - Pervasive Computing Laboratory

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2024
 Blanco-Romero, Javier;  Lorenzo, Vicente;  Almenares, Florina;  Díaz-Sánchez, Daniel;  García-Rubio, Carlos;  Campo, Celeste;  Marín, Andrés
Evaluating integration methods of a quantum random number generator in OpenSSL for TLS Journal Article 
In: vol. 255, 2024, ISBN: 1389-1286.
Abstract | Links | BibTeX | Tags: compromise, I-Shaper, Linux, OpenSSL, QRNGs, Quantum random number generators, Qursa, TLS
@article{javierblanco003,

title = {Evaluating integration methods of a quantum random number generator in OpenSSL for TLS},

author = {Javier Blanco-Romero and Vicente Lorenzo and Florina Almenares and Daniel Díaz-Sánchez and Carlos García-Rubio and Celeste Campo and Andrés Marín},

url = {https://www.sciencedirect.com/science/article/pii/S1389128624007096?via%3Dihub},

doi = {https://doi.org/10.1016/j.comnet.2024.110877},

isbn = {1389-1286},

year  = {2024},

date = {2024-10-25},

urldate = {2024-10-25},

volume = {255},

publisher = {Computer Networks},

abstract = {The rapid advancement of quantum computing poses a significant threat to conventional cryptography. Whilst post-quantum cryptography (PQC) stands as the prevailing trend for fortifying the security of cryptographic systems, the coexistence of quantum and classical computing paradigms presents an opportunity to leverage the strengths of both technologies, for instance, nowadays the use of Quantum Random Number Generators (QRNGs) – considered as True Random Number Generators (TRNGs) – opens up the possibility of discussing hybrid systems. In this paper, we evaluate both aspects, on the one hand, we use hybrid TLS (Transport Layer Security) protocol that leverages the widely used secure protocol on the Internet and integrates PQC algorithms, and, on the other hand, we evaluate two approaches to integrate a QRNG, i.e., Quantis PCIe-240M, in OpenSSL 3.0 to be used by TLS. Both approaches are compared through a Nginx Web server, that uses OpenSSL’s implementation of TLS 1.3 for secure web communication. Our findings highlight the importance of optimizing such integration method, because while direct integration can lead to performance penalties specific to the method and hardware used, alternative methods demonstrate the potential for efficient QRNG deployment in cryptographic systems.},

keywords = {compromise, I-Shaper, Linux, OpenSSL, QRNGs, Quantum random number generators, Qursa, TLS},

pubstate = {published},

tppubtype = {article}

}

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The rapid advancement of quantum computing poses a significant threat to conventional cryptography. Whilst post-quantum cryptography (PQC) stands as the prevailing trend for fortifying the security of cryptographic systems, the coexistence of quantum and classical computing paradigms presents an opportunity to leverage the strengths of both technologies, for instance, nowadays the use of Quantum Random Number Generators (QRNGs) – considered as True Random Number Generators (TRNGs) – opens up the possibility of discussing hybrid systems. In this paper, we evaluate both aspects, on the one hand, we use hybrid TLS (Transport Layer Security) protocol that leverages the widely used secure protocol on the Internet and integrates PQC algorithms, and, on the other hand, we evaluate two approaches to integrate a QRNG, i.e., Quantis PCIe-240M, in OpenSSL 3.0 to be used by TLS. Both approaches are compared through a Nginx Web server, that uses OpenSSL’s implementation of TLS 1.3 for secure web communication. Our findings highlight the importance of optimizing such integration method, because while direct integration can lead to performance penalties specific to the method and hardware used, alternative methods demonstrate the potential for efficient QRNG deployment in cryptographic systems.
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https://www.sciencedirect.com/science/article/pii/S1389128624007096?via%3Dihub
doi:https://doi.org/10.1016/j.comnet.2024.110877
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