Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Lecture notes in networks and systems

Denial-of-Service in Quantum Based Key Exchange Over Classical Network Protocols

Swarnendu Sekhar Mandal, Harsh Raj, Shivam Prakash, Akhil Vikram Singh, Hrudaya Kumar Tripathy, Hind Ahmed Naji Almaamra

Published Jan 1, 2026• 0 citations
Publisher
DOI
10.1007/978-3-032-26898-3_8

Related papers

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

Patrik Burdiak, Emir Dervisevic, Amina Tanković +10 more

International Conference on Information Systems Security and Privacy (ICISSP)•Jan 1, 2023•1 citation

A Quantum Key Distribution Protocol for Rapid Denial of Service Detection (Poster)

Alasdair B. Price, John Rarity, Chris Erven

•Apr 19, 2018•0 citations

Quantum Key Distribution Protocols and Applications

Sheila Cobourne

•Jan 1, 2011•16 citations

Based on Quantum Key Distribution (QKD) Distributed Denial of Service Attack Defense

Jincheng Zhang

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.

•Sep 3, 2026•0 citations

Quantum Analogue of Entropy Based DDoS Detection

Del Rajan

Distributed Denial-of-Service (DDoS) attacks can occur in quantum networks, which can pose a significant threat to its key distribution protocols. We introduce a quantum analogue of a classical entropic DDoS detection system, and apply it in the context of detecting an attack on a quantum network. In particular, we examine DDoS attacks on a quantum repeater and harness the associated entanglement entropy for the detection system. Our method contributes to the applicability of quantum information from the domain of data security to the area of network security.

arXiv:2111.11867•Nov 22, 2021•1 citation

A Resistant Quantum Key Exchange Protocol and Its Corresponding Encryption Scheme

Mao Mao, Shaowu, Zhang +9 more

中国通信：英文版•Jan 1, 2014•0 citations
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.
Distributed Denial-of-Service (DDoS) attacks can occur in quantum networks, which can pose a significant threat to its key distribution protocols. We introduce a quantum analogue of a classical entropic DDoS detection system, and apply it in the context of detecting an attack on a quantum network. In particular, we examine DDoS attacks on a quantum repeater and harness the associated entanglement entropy for the detection system. Our method contributes to the applicability of quantum information from the domain of data security to the area of network security.