9 May

New article published in IEEE Network

Emulation of Quantum Key Distribution Networks

NATO SPS

Authors

  • Miralem Mehic
    • Department of Telecommunications, Faculty of Electrical Engineering, University of Sarajevo, Zmaja od Bosne bb, Sarajevo, Bosnia and Herzegovina
    • VSB – Technical University of Ostrava, Ostrava, Czechia
  • Emir Dervisevic
    • Department of Telecommunications, Faculty of Electrical Engineering, University of Sarajevo, Zmaja od Bosne bb, Sarajevo, Bosnia and Herzegovina
  • Patrik Burdiak
    • VSB – Technical University of Ostrava, Ostrava, Czechia
  • Vlatko Lipovac
    • Department of Electrical Engineering and Computing, University of Dubrovnik, Croatia
  • Peppino Fazio
    • DSMN, Ca’ Foscari University of Venice, Italy
    • VSB – Technical University of Ostrava, Ostrava, Czechia
  • Miroslav Voznak
    • VSB – Technical University of Ostrava, Ostrava, Czechia

Abstract

Network emulators play an important role in testing network systems, applications, and protocols. Emulators bridge the gap between simulation setups that lack realism in results and real-world trials that are accurate but often expensive, non-reproducible, and uncontrollable. This article presents an extended model of the Quantum Key Distribution Network Simulation Module (QKDNetSim) with a model catalog of QKD components and functionalities. We explore emulations of point-to-point connections in QKD networks and the interaction of essential components within QKD nodes. The presented tool will undoubtedly spur future development and teaching, and it is critical for testing novel applications and protocols applied to QKD networks.

DOI

10.1109/MNET.2024.3398404

URL

Article is available via url: https://doi.org/10.1109/MNET.2024.3398404

Citation

M. Mehic, E. Dervisevic, P.Burdiak, V.Lipovac, P.Fazio, M. Voznak, “Emulation of Quantum Key Distribution Networks.” IEEE Network. doi:10.1109/MNET.2024.3398404 SCIE Impact Factor: 9.3 (Q1/2023)

Journal Title

IEEE Network

Publisher

IEEE

Impact Factor

9.3 (2022)

SCImago Journal & Country Rank

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