Quantum-Resilient Threat Modelling for Secure RIS-Assisted ISAC in 6G UAV Corridors

Hafeez, S ORCID: 0000-0003-4769-4284, Mustafa Abro, GE and Mustafa, H (2025) Quantum-Resilient Threat Modelling for Secure RIS-Assisted ISAC in 6G UAV Corridors. In: Proceedings of the 2025 International Conference on Computational Intelligence Security and Artificial Intelligence Intellisecai 2025 , 00. pp. 1-6. (2025 International Conference on Computational Intelligence, Security, and Artificial Intelligence (IntelliSecAI), 17th Dec- 18th Dec 2025, Al-Khobar, Saudi Arabia).

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Abstract

The swift implementation of unmanned aerial ve- hicle (UAV) corridors in sixth-generation (6G) networks necessi- tates safe, intelligence-driven integrated sensing and communica- tions (ISAC). Reconfigurable intelligent surfaces (RIS) improve spectrum efficiency, localisation precision, and situational awareness, while also introducing new vulnerabilities. The emergence of quantum computing heightens hazards associated with harvest-now, decrypt-later tactics and quantum-enhanced spoofing. We propose a quantum-resilient threat modelling (QRTM) framework for RIS-assisted ISAC in UAV corridors to tackle these problems. QRTM integrates classical, quantum-ready, and quantum-aided adversaries, addressing them with post-quantum cryptographic (PQC) primitives: ML-KEM for key establishment and Falcon for authentication, both incorporated inside RIS control signalling and UAV coordination. To enhance security sensing, we present RIS-coded scene watermarking validated by a generalised likelihood ratio test (GLRT), with its detection probability characterised by a Marcum-Q function. Additionally, we establish a secure ISAC utility (SIU) that concurrently optimises secrecy rate, spoofing detection, and throughput within RIS limitations, facilitated by a scheduler with O(n²) complexity. Monte Carlo evaluations utilising 3GPP Release-19 mid-band urban-canyon models (7-15 GHz) reveal spoof-detection probability approaching 0.99 at PFA = 10⁻³, secrecy-rate retention surpassing 90% versus quantum-capable adversaries, and signal interference utilisation enhancements of around 25% relative to baselines. These findings underscore a standards-compliant approach to establishing a reliable, quantum-resilient ISAC for UAV corridors in smart cities and non-terrestrial networks.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	46 Information and Computing Sciences; 40 Engineering; 4009 Electronics, Sensors and Digital Hardware
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	Computer Science and Mathematics
Publisher:	IEEE
Date of acceptance:	1 September 2025
Date of first compliant Open Access:	8 July 2026
Date Deposited:	08 Jul 2026 10:59
Last Modified:	08 Jul 2026 10:59
DOI or ID number:	10.1109/IntelliSecAI66368.2025.11473060
URI:	https://researchonline.ljmu.ac.uk/id/eprint/28949

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