AI 中文总结
针对通信与感知窃听者耦合的低空ISAC系统，本文定义RSR量化耦合程度，构建联合窃听MI，设计传输波束成形器并通过仿真验证方案的收敛性与有效性。
AI 中文摘要
低空无线网络（LAWN）部署的集成感知与通信（ISAC）系统中，安全信息传输极具挑战性，原因在于开放空域以及同时用于通信和感知的无线信号的广播特性，这引发了更严峻复杂的安全威胁。本文研究了通信窃听者（CEve）与感知窃听者（SEve）合作协助，进而导致通信与感知信息泄露耦合的低空ISAC系统的联合通信与感知安全问题。我们定义了可恢复信号功率比（RSR），用于量化通信窃听与感知信息泄露之间的耦合程度。基于该耦合关系，我们构建了联合窃听互信息（MI），以实现整体安全的统一分析与优化。随后，我们设计了传输波束成形器，在联合信息泄露约束下最大化合法通信与感知MI的加权和。仿真结果表明，所提方案收敛迅速，且能有效利用通信窃听能力与感知信息泄露之间的耦合关系。
英文摘要
Secure information transmission in integrated sensing and communication (ISAC) systems deployed in low-altitude wireless networks (LAWN) is particularly challenging due to the open airspace and the broadcast nature of wireless signals reused for both communication and sensing, which give rise to more severe and complex security threats. This paper investigates the joint communication and sensing security of low-altitude ISAC systems where a communication eavesdropper (CEve) cooperates with and assists a sensing eavesdropper (SEve), leading to coupled communication and sensing information leakage. We define a recoverable signal power ratio (RSR) that quantifies the degree of coupling between communication eavesdropping and sensing information leakage. Based on this coupling, we formulate a joint eavesdropping mutual information (MI) that facilitates unified analysis and optimization for the overall security. Subsequently, we design the transmit beamformer that maximizes the weighted sum of legitimate communication and sensing MI under the joint information-leakage constraint. Simulations show that the proposed scheme converges rapidly and effectively exploits the coupling between communication eavesdropping capability and sensing information leakage.
Comments6 pages, 5 figures. Accepted for publication in IEEE Transactions on Vehicular Technology as a Correspondence
