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In this paper, an intelligent reflecting surface (IRS) is leveraged toenhance the physical layer security of an integrated sensing and communication(ISAC) system in which the IRS is deployed to not only assist the downlinkcommunication for multiple users, but also create a virtual line-of-sight (LoS)link for target sensing. In particular, we consider a challenging scenariowhere the target may be a suspicious eavesdropper that potentially interceptsthe communication-user information transmitted by the base station (BS). Weinvestigate the joint design of the phase shifts at the IRS and thecommunication as well as radar beamformers at the BS to maximize the sensingbeampattern gain towards the target, subject to the maximum information leakageto the eavesdropping target and the minimum signal-to-interference-plus-noiseratio (SINR) required by users. Based on the availability of perfect channelstate information (CSI) of all involved user links and the accurate targetlocation at the BS, two scenarios are considered and two different optimizationalgorithms are proposed. For the ideal scenario where the CSI of the user linksand the target location are perfectly known at the BS, a penalty-basedalgorithm is proposed to obtain a high-quality solution. In particular, thebeamformers are obtained with a semi-closed-form solution using Lagrangeduality and the IRS phase shifts are solved for in closed form by applying themajorization-minimization (MM) method. On the other hand, for the morepractical scenario where the CSI is imperfect and the target location isuncertain, a robust algorithm based on the $\cal S$-procedure andsign-definiteness approaches is proposed. Simulation results demonstrate theeffectiveness of the proposed scheme in achieving a trade-off between thecommunication quality and the sensing quality.

Secure Intelligent Reflecting Surface Aided Integrated Sensing and Communication