This paper investigates the secure resource allocation for a downlink integrated sensing and communication system with multiple legal users and potential eavesdroppers. In the considered model, the base station (BS) simultaneously transmits sensing and communication signals through beamforming design, where the sensing signals can be viewed as artificial noise to enhance the security of communication signals. To further enhance the security in the semantic layer, the semantic information is extracted from the original information before transmission. The user side can only successfully recover the received information with the help of the knowledge base shared with the BS, which is stored in advance. Our aim is to maximize the sum semantic secrecy rate of all users while maintaining the minimum quality of service for each user and guaranteeing overall sensing performance. To solve this sum semantic secrecy rate maximization problem, an iterative algorithm is proposed using the alternating optimization method. The simulation results demonstrate the superiority of the proposed algorithm in terms of secure semantic communication and reliable detection.

翻译：本文研究了下行集成感知与通信系统中，面向多合法用户及潜在窃听者的安全资源分配问题。在所考虑模型中，基站通过波束赋形同时发射感知信号与通信信号，其中感知信号可视为人工噪声以增强通信信号的安全性。为在语义层面进一步提升安全性，原始信息在传输前需先提取语义信息。用户侧需借助与基站预先共享的知识库，才能成功恢复接收信息。本文目标是在保证每个用户最低服务质量及整体感知性能的前提下，最大化所有用户的总语义保密速率。针对该总语义保密速率最大化问题，提出了一种基于交替优化方法的迭代算法。仿真结果表明，所提算法在安全语义通信与可靠检测方面具有优越性。