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Secure High-Speed Train-to-Ground Communications Through ISAC

Panpan Li, Yong Niu, Hao Wu, Zhu Han, Ning Wang, Lei Xiong, Bo Ai, Chau Yuen

2024IEEE Internet of Things Journal11 citationsDOI

Abstract

As research on integrated sensing and communication (ISAC) progresses, it has been discovered that ISAC can be effectively utilized to enhance the security of wireless communications. Its sensing function can assist in both eavesdropping detection and physical-layer security techniques. In this article, our focus lies on addressing the security challenges associated with high-speed train-to-ground communication using ISAC technology. We explore a novel secure communication scheme. Specifically, we exploit the sensing capabilities of ISAC to detect eavesdropping at the receiving end and subsequently establish a signal blind zone at the location where eavesdropping occurs through beamforming and waveform optimization techniques. This approach ensures the achievement of secure wireless communication. Mathematically modeling the problem as an optimization problem, we derive a lower bound for simplification purposes. Subsequently, we employ an alternating optimization algorithm to iteratively find suboptimal solutions for the optimization variables. Through extensive simulation experiments and comparative analysis, we demonstrate that our proposed algorithm not only guarantees communication security but also outperforms existing algorithms in terms of efficiency.

Topics & Concepts

Computer scienceComputer networkTelecommunicationsPower Line Communications and NoiseRailway Systems and Energy EfficiencySatellite Communication Systems
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