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International Workshop on Resilient Networks Design and Modeling (RNDM)

An Empirical Analysis of Quantum Key Distribution in Realistic Networks

Maria Caterina D'Aloia, Christian Esposito

Published Jun 9, 2025• 1 citation
Publisher

Abstract

Quantum technologies promise to boost ICT further by extending its limits, even by promising more effective and secure communications due to the benefits of quantum physics. This leads to Quantum Key Distribution (QKD), a cryptographic primitive for securely exchanging a secret key between distant endpoints, leveraging an insecure communication channel due to potential eavesdroppers. The literature on QKD started with the BB84 protocol proposed in 1984 and continued with other protocols, each with its pros and cons. Still, they have been chiefly designed for static scenarios and do not consider the needs of dynamic networks. This paper presents a QKD solution for dynamic networks combining adaptive key management techniques and fault-tolerant routing, ensuring high security and efficiency even in variable network topologies. Using MDI-QKD (Measurement Device Independent QKD) and simulations with NetSquid, we provide a preliminary assessment of this solution's robustness against dynamic attacks and the improvement in quantum resource management. The work also compares the protocol's effectiveness with existing solutions, highlighting the advantages and potential practical applications.

DOI
10.1109/rndm66856.2025.11073799

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Quantum technologies promise to boost ICT further by extending its limits, even by promising more effective and secure communications due to the benefits of quantum physics. This leads to Quantum Key Distribution (QKD), a cryptographic primitive for securely exchanging a secret key between distant endpoints, leveraging an insecure communication channel due to potential eavesdroppers. The literature on QKD started with the BB84 protocol proposed in 1984 and continued with other protocols, each with its pros and cons. Still, they have been chiefly designed for static scenarios and do not consider the needs of dynamic networks. This paper presents a QKD solution for dynamic networks combining adaptive key management techniques and fault-tolerant routing, ensuring high security and efficiency even in variable network topologies. Using MDI-QKD (Measurement Device Independent QKD) and simulations with NetSquid, we provide a preliminary assessment of this solution's robustness against dynamic attacks and the improvement in quantum resource management. The work also compares the protocol's effectiveness with existing solutions, highlighting the advantages and potential practical applications.
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Quantum Key Distribution (QKD) protocols have emerged as a promising solution for secure communication, offering provable security guarantees based on the principles of quantum mechanics. an overview of recent advancements and challenges in the field of QKD protocols. We discuss key protocols such as BB84, E91, and continuous-variable QKD, highlighting their theoretical foundations and practical implementations. Furthermore, we explore recent research developments in QKD, including measurement-device-independent QKD, twin-field QKD, and satellite-based QKD. These advancements have expanded the capabilities and applicability of QKD protocols, paving the way for secure communication channels resistant to eavesdropping attacks. However, challenges such as scalability, compatibility with existing infrastructure, and vulnerability to certain attacks remain significant barriers to the widespread deployment of QKD. By addressing these challenges and continuing to innovate in the field of quantum cryptography, we can unlock the full potential of QKD protocols for ensuring the confidentiality and integrity of sensitive information exchange in the digital age.
Quantum key distribution (QKD) is a cryptographic technique that enables secure private key exchange between geographically distant parties over an insecure channel, protecting confidentiality against potential eavesdroppers. QKD has evolved significantly since its inception with the BB84 protocol proposed by Bennett and Brassard in 1984. Its theoretical foundation relies on quantum physics, particularly the uncertainty principle, the no-cloning theorem, and particle entanglement, which ensures its information-theoretic security when combined with the one-time-pad cryptographic algorithm. However, certain security loopholes persist in terms of practical implementation in commercial devices. Some vulnerabilities are associated with side-channel vectors linked to commonly used optical subcomponents, while others are more related to how existing protocols handle encoding and communication pipelines. In this work, we aim to comprehensively study the current state of security loopholes affecting QKD technology in commercial devices. We also provide a concise overview of the existing types of QKD implementations. Additionally, we offer insights into current trends and vulnerability countermeasures, paving the way for future research and novel mechanisms to enhance the implementation security of commercial QKD devices.
This report reviews two quantum key distribution (QKD) protocols: the BB84 protocol and the measurement device independent (MDI) QKD protocol. The goal of this report is to recreate the security proof of the BB84 protocol, to generate the secret key rate for a practical application of the BB84 protocol, both with and without decoy states, and to review the MDI-QKD protocol and look at the advantages it has for practical QKD. The proof security of the BB84 protocol is done by designing an equivalent theoretical protocol and proving its security by bounding the information of the eavesdropper to an exponentially small number. The best distance over which secret key rate can be generated with the practical model of the BB84 protocol that is presented in this report, is 165 km. This is achieved by employing decoy states and is more than three times as far as the model can achieve without decoy states, which gave a distance of 52 km at best. The zero distance key rate of the model with decoy states is R = 1.21 · 10-2 bits per pulse (bpp), at best. This is an order of magnitude larger than R =1.02 · 10-3 bpp, which is what the model without decoy states could produce. The decoy state method is therefore an improvement for practical QKD. By reviewing the MDI-QKD protocol it can be concluded that because it eliminates the measurement device side channels, it is very useful for practical QKD, since it makes security analysis simpler and more precise. It also necessarily employs decoy states, which improves the secret key rate. MDI-QKD therefore is a promising protocol to use for future quantum communications.
Quantum computing poses significant threats to conventional cryptographic techniques such as RSA and AES, motivating the need for quantum secure communication methods. Quantum Key Distribution (QKD) offers information theoretic security based on fundamental quantum principles. This paper presents a simulation-based analysis of well-known QKD protocols, namely BB84, B92, and E91, using the IBM Qiskit framework. Realistic quantum channel effects, including noise, decoherence, and eavesdropping, are modeled to evaluate protocol performance. Key metrics such as error rate, secret key generation, and security characteristics are analyzed and compared. The study highlights practical challenges in QKD implementation, including hardware limitations and channel losses, and discusses insights toward scalable and robust quantum communication systems. The results support the feasibility of QKD as a promising solution for secure communication in the quantum era.
Quantum key distribution (QKD) is a straightforward cryptographic protocol for secure communication using quantum mechanics principles. This book chapter provides an introduction to QKD protocols based on theoretical principles, applicability, and recent advancements. The chapter provides an overview of the most popular BB84 protocol and its extensions, including measurement-device-independent QKD (MDI-QKD) and twin-field QKD (TF-QKD). The chapter includes continuous-variable QKD (CV-QKD) and its applicability to real networks. Security attacks, including side-channel attacks and photon-number splitting (PNS) attacks, are addressed with a focus on countermeasures, including decoy-state techniques and device-independent protocols. Application of QKD for network security, cloud computing, and critical infrastructure is addressed. Integration of QKD with classical cryptography techniques, post-quantum cryptography, and innovative quantum network topologies is addressed to investigate applicability for large-scale implementation. The chapter discusses recent advancements in superconducting nanowire single-photon detectors, quantum memory-assisted QKD, and free-space QKD in atmospheric channels. It also discusses innovative reconciliation techniques, authentication schemes, future developments, and deployment challenges and provides valuable information for researchers and practitioners.