Hacking Quantum Key Distribution over Space Division Multiplexing System
Paper in proceeding, 2024

On the one hand, Quantum key distribution (QKD) offers unparalleled security relying on the principles of quantum mechanics. On the other hand, space division multiplexing (SDM) is recognized as the route toward a capacity upgrade for current core optical communication networks and will progressively permeate into shorter-reach networks. Incorporating QKD into classical networks, with SDM being one of its components, will enhance data communication security. Understanding the security implications of implementing QKD over SDM is crucial for the practical deployment of quantum-secure communication technologies, especially in scenarios where high data capacity and multiplexing techniques are essential. In this paper, we study a QKD eavesdropping use case where connectivity is provided via SDM fibers. Specifically, we discuss the detector blinding attack (DBA) concerning inter-core crosstalk in an entanglement based QKD system. Additionally, we analyze the blinding power of DBA over quasi-homogeneous and heterogeneous seven-core fiber scenarios. Furthermore, the potential countermeasures to mitigate the impact of such attacks are discussed.

inter-core crosstalk

quantum key distribution (QKD)

detector blinding attack (DBA)

space division multiplexing (SDM)

Author

Chao Lei

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Paolo Monti

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Rui Lin

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Proceedings of the 2024 International Conference on Optical Network Design and Modeling, ONDM 2024


9783903176546 (ISBN)

2024 International Conference on Optical Network Design and Modeling, ONDM 2024
Madrid, Spain,

Scaling Quantum Networks by Multi-dimensional Multiplexing

Swedish Research Council (VR) (2021-04395), 2022-01-01 -- 2025-12-31.

Subject Categories

Communication Systems

Computer Systems

DOI

10.23919/ONDM61578.2024.10582765

More information

Latest update

7/30/2024