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Meiding Liu

Publications and source records attributed to Meiding Liu.

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Security in Low-Altitude ISAC with Coupled Communication and Sensing Information Leakage

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.

eess.SP

Joint Beamforming Design for Integrated Sensing and Communication Systems with Hybrid-Colluding Eavesdroppers

In this paper, we consider the physical layer security (PLS) problem for integrated sensing and communication (ISAC) systems in the presence of hybrid-colluding eavesdroppers, where an active eavesdropper (AE) and a passive eavesdropper (PE) collude to intercept the confidential information. To ensure the accuracy of sensing while preventing the eavesdropping, a base station transmits a signal consisting of information symbols and sensing waveform, in which the sensing waveform can be also used as artificial noise to interfere with eavesdroppers. Under this setup, we propose an alternating optimization-based two stage scheme (AO-TSS) for improving the sensing and communication performance. In the first stage, based on the assumptions that the perfect channel state information (CSI) of the AE and statistical CSI of the PE are known, the communication and sensing beamforming problem is formulated with the objective of minimizing the weighted sum of the beampattern matching mean squared error (MSE) and cross-correlation, subject to the secure transmission constraint. To tackle the non-convexity, we propose a semi-definite relaxation (SDR) algorithm and a reduced-complexity zero-forcing (ZF) algorithm. Then, the scenarios are further extended to more general cases with imperfect AE CSI and unknown PE CSI. To further improve the communication performance, the second-stage problem is developed to optimize the secrecy rate threshold under the radar performance constraint. Finally, numerical results demonstrate the superiority of the proposed scheme in terms of sensing and secure communication.

eess.SY