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With the use of common signaling methods for dual-functionradar-communications (DFRC) systems, the susceptibility of eavesdropping onmessages aimed at legitimate users has worsened. For DFRC systems, the radartarget may act as an eavesdropper (ED) that receives a high-energy signalthereby leading to additional challenges. Unlike prior works, we consider amulticast multi-antenna DFRC system with multiple EDs. We then propose aphysical layer design approach to maximize the secrecy rate by installingintelligent reflecting surfaces in the radar channels. Our optimization ofmultiple ED multicast multi-antenna DFRC secrecy rate (OptM3Sec) approachsolves this highly nonconvex problem with respect to the precoding matrices.Our numerical experiments demonstrate the feasibility of our algorithm inmaximizing the secrecy rate in this DFRC setup.

OptM3Sec: Optimizing Multicast IRS-Aided Multiantenna DFRC Secrecy Channel with Multiple Eavesdroppers