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International Conference on Information Systems Security and Privacy (ICISSP)

Use-Case Denial of Service Attack on Actual Quantum Key Distribution Nodes

Patrik Burdiak, Emir Dervisevic, Amina Tanković, Filip Lauterbach, Jan Rozhon, Lukáš Kapičák, Libor Michálek, Dzana Pivac, Merima Fehrić, Enio Kaljić, Mirza Hamza, Miralem Mehić, Miroslav Vozn̆ák

Published Jan 1, 2023• 1 citation
Publisher
DOI
10.5220/0011672000003405

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•Sep 3, 2026•0 citations
Within quantum networks (employing quantum key distribution - QKD), the attacker has no chance to get hold of the established keys (most commonly used as one time pads) without being detected by the communicating parties. So the attacker might change his strategy to denial of service in order to inhibit the efficient usage of the quantum-key-distribution-links and one-time-pad-encryption and hence to force the use of classical (a)symmetric cryptography. In this paper we will propose a method for strengthening classical cryptographic algorithms by the use of small amounts of one time pads, so that these algorithms can be used for an emergency operation when suffering a Denial-of-Service attack and during the time needed to fix it. Additional scenarios of using the presented approach include the down time of QKD-links or QKD-devices in case of failure or maintenance.
This paper presents a novel defense mechanism against Distributed Denial of Service (DDoS) attacks specifically tailored for Quantum Key Distribution (QKD) systems. The core claim is the design of a new distributed DDoS attack defense mechanism leveraging the inherent properties of QKD. The proposed mechanism constructs a distributed secure network based on the secure key transmission of QKD, effectively mitigating the impact of DDoS attacks. This approach enhances network security and reliability by exploiting the quantum nature of the key exchange process. The detailed formulation of the defense strategy, including key rate monitoring, redundancy management, and adaptive protocol switching, are presented. The proposed system aims to provide a robust defense against sophisticated DDoS attacks that target QKD systems, ensuring the continued confidentiality and integrity of key exchange. The system's architecture is outlined, and the mathematical models used for key rate analysis and attack mitigation are described. Finally, future research directions focusing on the integration of machine learning for dynamic threat detection are discussed.