Integrated sensing and communication (ISAC) enables efficient sharing of wireless resources to support emerging applications, but it also introduces new sensing-based security vulnerabilities. Here, potential communication security threats include confidential messages intended for legitimate users being intercepted, and unauthorized receivers (Eves) passively exploiting target echoes to infer sensing parameters without users being aware. Despite these risks, the joint protection of sensing and communication security in ISAC systems remains unexplored. To address this challenge, this paper proposes a dual-secure ISAC framework that simultaneously protects sensing and communication against passive sensing Eves and communication Eves, without requiring their channel state information (CSI). Specifically, transmit beamformers are jointly designed to inject artificial noise (AN) to introduce interference to communication Eves, while deliberately distorting the reference signal available to sensing Eves to impair their sensing capability. Furthermore, the proposed design generates artificial ghosts (AGs) with fake angle-delay-Doppler profiles. The legitimate sensing receiver can suppress these AGs using its prior knowledge of the true target directions, whereas sensing Eves cannot, thereby significantly reducing their probability of correctly detecting the true targets. Numerical results demonstrate that the proposed framework effectively enhances both communication and sensing security, while preserving the performance of communication users and legitimate sensing receivers.
Joint Detection and Velocity Estimation in OFDM-ISAC Cell-Free Massive MIMO Networks
Consorzio Nazionale Interuniversitario per le Telecomunicazioni（意大利国立电信联盟）；DIEI, Universita degli Studi di Cassino e del Lazio Meridionale（卡西诺及南拉齐奥大学 DIEI）
Secure OFDM Waveform Design for ISAC: Artificial Phase-Doppler Shifts Against Passive Sensing
Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院）；Nokia Bell Labs Stuttgart（诺基亚贝尔实验室斯图加特）；Hensoldt Sensors GmbH（亨索尔特传感器有限公司）；Technical University of Munich（慕尼黑工业大学）
University of Southampton（南安普顿大学）；InterDigital；Indian Institute of Technology Jodhpur（印度理工学院乔德普尔分校）；Indian Institute of Technology, Kanpur（印度理工学院坎普尔分校）
CRLB and Parameter Estimation for OFDM-ISAC with Non-Uniform Sparse Resource Allocation
National Mobile Communications Research Laboratory, Southeast University（东南大学）；School of Information Science and Engineering, Hohai University（河海大学）；Purple Mountain Laboratories（紫金山实验室）
Tensor Decomposition-Based Wireless Sensing for MIMO-OFDM ISAC via Flexible Spatial-Temporal-Spectral Optimization
Nanjing University of Science and Technology（南京理工大学）；Key Laboratory of Near-Range RF Sensing ICs and Microsystems (NJUST), Ministry of Education, School of Electronic and Optical Engineering, Nanjing University of Science and Technology（南京理工大学电子与光学工程学院、近场射频集成电路与微系统教育部重点实验室）；Qian Xuesen College, Nanjing University of Science and Technology（南京理工大学钱学森学院）；College of Communications Engineering, Army Engineering University of PLA（中国人民解放军陆军工程大学通信工程学院）；The Sixty-Third Research Institute, National University of Defense Technology（国防科技大学第六十三研究所）；National University of Singapore（新加坡国立大学）；Department of Electrical and Computer Engineering, National University of Singapore（新加坡国立大学电气与计算机工程系）
