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Cross-Layer Management Framework for Enhancing XR-Based System Security in Zero-Trust Wireless Communications
  • +2
  • Esraa M. Ghourab,
  • Mohamed Azab ,
  • Denis Gračanin,
  • sami muhaidat,
  • Mahmoud Al-Qutayri
Esraa M. Ghourab

Corresponding Author:[email protected]

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Mohamed Azab
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Denis Gračanin
sami muhaidat
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Mahmoud Al-Qutayri

Abstract

Extended reality (XR) and 6G networks are set to transform mobile immersive experiences, with privacy and security being paramount in XR communications. Achieving secure and reliable XR experiences while meeting high-resolution and low-latency needs are challenging for wireless networks. A novel security-aware cross-layer communication management framework is proposed, employing zero-trust spatiotemporal physical layer level manipulations for moving-target defense (MTD). Driven by deep reinforcement learning (DRL) and realtime monitoring, the proposed framework adaptively reprograms the network configuration to maximize the user's quality of experience (QoE), reduce the overall latency, and minimize the attacker's intercept probability. The framework was evaluated in a simulated scenario featuring an indirect multi-hop communication setup. The results show that the proposed framework effectively and efficiently secures XR user communications while maintaining QoE outperforming conventional Q-learning algorithms, making it suitable for mission-critical XR applications.
12 May 2024Submitted to TechRxiv
17 May 2024Published in TechRxiv