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Journal of Discrete Mathematical Sciences and Cryptography cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

Quantum cryptography assessing the security and practicality of quantum key distribution in modern communication networks

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pp. 979–986Vol. 29Issue 2-BFebruary 2026DOI: 10.47974/JDMSC-2549 Crossmark XML
Received:
02 Apr 2025
Published Online:
18 Feb 2026
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-2549
Pages:
979–986

Abstract

The increasing number of cyber threats and the approaching development of quantum computing demand a critical review of existing cryptographic approaches. The goal of this work is to evaluate the security and practicality of utilizing Quantum Key Distribution for secure communications. QKD utilizes the laws of quantum mechanics to provide a secure and unbreakable method for exchanging information. Protocols like BB84 are resistant to threatening attacks from both classical and quantum adversaries. The methodology utilizes simulated models and quantum communication toolkits to study critical characteristics such as key generation speed, QBER, latency and scalability. Performance of QKD is compared to that of classical schemes such as RSA-2048, ECC-256 and AES-256. Results reveal that although QKD provides unparalleled theoretical security, its deployment has notable obstacles such as intricate infrastructure, restrictions on distance and elevated latency. Our study reveals that optimizing the interplay between security and practicality in QKD deployment can yield a highly effective safeguard for next-generation communication networks.

Keywords

Subject Classifications

Primary 93A30Secondary 49K15

References

[1] L. J. Wang, K. Y. Zhang, J. Y. Wang,  J. Cheng, Y. H. Yang, S. B. Tang, D. Yan, Y. L. Tang, Z. Liu, Y. Yu, and Q. Zhang, “Experimental authentication of quantum key distribution with post-quantum cryptography,” npj Quantum Inf., vol. 7, no. 1, pp. 67 (2021).
[2] S. S. Dhanda, B. Singh, and P. Jindal, “Demystifying elliptic curve cryptography: Curve selection, implementation and countermeasures to attacks,” Journal of Interdisciplinary Mathematics, vol. 23, no. 2, pp. 463–470 (2020).
[3] C.C. Chou, “A closed-form general solution for the distance of point-to-ellipse in two dimensions,” Journal of Interdisciplinary Mathematics, vol. 22, no. 3, pp. 337–351 (2019).
[4] B. Zhao and G. Guo, “An encryption algorithm for user’s sensitive information resources in network database,” Journal of Interdisciplinary Mathematics, vol. 21, no. 5, pp. 1255–1260 (2018).
[5] A. Kumar, P. Dadheech, V. Singh, R. C. Poonia, and L. Raja, “An improved quantum key distribution protocol for verification,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 22, no. 4, pp. 491–498 (2019).
[6] M. Mehic, L. Michalek, E. Dervisevic, P. Burdiak, M. Plakalovic, J. Rozhon, N. Mahovac, F. Richter, E. Kaljic, F. Lauterbach,and P. Njemcevic, “Quantum cryptography in 5G networks: A comprehensive overview,” IEEE Commun. Surv. Tutor., vol. 26, no. 1, pp. 302–346 (2024).
[7] A. Aji, K. Jain, and P. Krishnan, “A survey of quantum key distribution (QKD) network simulation platforms,” in Proc. 2nd Global Conf. Advancement in Technol. (GCAT), pp. 1–8 (2021).
[8] O. Amer, V. Garg, and W. O. Krawec, “An introduction to practical quantum key distribution,” IEEE Aerosp. Electron. Syst. Mag., vol. 36, no. 3, pp. 30–55 (2021).
[9] Miralem Mehic, Libor Michalek, Emir Dervisevic, Patrik Burdiak, Matej Plakalovic, and Jan Rozhon, “Secret-key provisioning with collaborative routing in partially-trusted-relay-based quantum-key-distribution-secured optical networks,” J. Lightwave Technol., vol. 40, no. 12, pp. 3530–3545 (2022).
[10] O. D. Okey, S. S. Maidin, R. Lopes Rosa, W. T. Toor, D. Carrillo Melgar­ejo, L. Wuttisittikulkij,  M. Saadi, and D. Zegarra Rodríguez, “Quantum key distribution protocol selector based on machine learning for next-generation networks,” Sustainability, vol. 14, no. 23 (2022).
[11] R. Liu, G. G. Rozenman, N. K. Kundu, D. Chandra, and D. De, “Towards the industrialisation of quantum key distribution in communication networks: A short survey,” IET Quantum Commun., vol. 3, no. 3, pp. 151–163 (Sep. 2022).

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