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Quantum Cryptography Security
Quantum Machine Learning
SQOUT: A Risk-Based Threat Analysis Framework for Quantum Communication Systems
arXiv
Authors: Michal Krelina, Tom Sorger, Bob Dirks
Year
2025
Paper ID
50701
Status
Preprint
Abstract Read
~2 min
Abstract Words
107
Citations
N/A
Abstract
This paper addresses the urgent need for a cybersecurity framework tailored to quantum communication systems as the world transitions to quantum-safe infrastructures. While quantum communication promises unbreakable security, real-world deployments are vulnerable to physical, protocol, and operational risks. Our work presents a structured framework for analysing these threats, combining a TTP-style (Tactic, Technique, Procedure) approach with a specific risk assessment methodology. We introduce SQOUT, a quantum threat intelligence platform, and illustrate its application using a Photon-Number-Splitting (PNS) attack kill chain. Furthermore, we apply established international standards and best practices for information security risk management to assess quantum-specific risk scenarios, providing practical guidance for safeguarding emerging quantum infrastructures.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- This paper addresses the urgent need for a cybersecurity framework tailored to quantum communication systems as the world transitions to quantum-safe infrastructures.
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