In practical wireless systems, transceiver hardware impairments (HWIs) introduce additional noise and nonlinear distortions, leading to degradation in physical layer security performance. In integrated sensing and communication (ISAC) systems, the transmitted waveform carrying communication information is susceptible to eavesdropping by sensing targets. To address this challenge, this paper investigates a reconfigurable intelligent surface (RIS)-assisted ISAC system that accounts for hardware impairments at both the transmitter and receiver. To enhance physical layer security and reduce information leakage to unauthorized users, we propose the strategic injection of artificial noise (AN) under certain conditions to degrade the signal quality at potential eavesdroppers. Specifically, we formulate a joint optimization problem involving sensing beamforming, artificial noise design, and RIS reflection coefficients, aiming to maximize the achievable secrecy rate while satisfying constraints on total transmit power, minimum communication rate, minimum radar sensing signal-to-noise ratio (SINR), and unit-modulus reflection coefficients. To solve the resulting non-convex problem, we first perform an equivalent transformation and decouple it into two non-convex subproblems. We then apply successive convex approximation (SCA) and semidefinite relaxation (SDR) to approximate the subproblems as convex programs. Finally, an alternating optimization (AO) algorithm is developed to efficiently solve the reformulated problem. Simulation results demonstrate that the proposed scheme effectively mitigates the performance degradation caused by hardware impairments and achieves an optimal trade-off between interference shaping and privacy preservation, outperforming conventional schemes without AN, RIS, or hardware impairment considerations.
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