In this paper, we explore sensing security in near-field (NF) integrated sensing and communication (ISAC) scenarios by exploiting known scatterers in the sensing scene. We propose a location deception (LD) scheme where scatterers are deliberately illuminated with probing power that is higher than that directed toward targets of interest, with the goal of deceiving potential eavesdroppers (Eves) with sensing capability into misidentifying scatterers as targets. While the known scatterers can be removed at the legitimate sensing receiver, our LD approach causes Eves to misdetect targets. Notably, this deception is achieved without requiring any prior information about the Eves' characteristics or locations. To strike a flexible three-way tradeoff among communication, sensing, and sensing-security performance, the sum rate and power allocated to scatterers are weighted and maximized under a legitimate radar signal-to-interference-plus-noise ratio (SINR) constraint. We employ the fractional programming (FP) framework and semidefinite relaxation (SDR) to solve this problem. To evaluate the security of the proposed LD scheme, the Cramer-Rao Bound (CRB) and mean squared error (MSE) metrics are employed. Additionally, we introduce the Kullback-Leibler Divergence (KLD) gap between targets and scatterers at Eve to quantify the impact of the proposed LD framework on Eve's sensing performance from an information-theoretical perspective. Simulation results demonstrate that the proposed LD scheme can flexibly adjust the beamforming strategy according to performance requirements, thereby achieving the desired three-way tradeoff. In particular, in terms of sensing security, the proposed scheme significantly enhances the clutter signal strength at Eve's side, leading to confusion or even missed detection of the actual target.
Sub-Sampling for Positioning Privacy in ISAC: Deception by Aliasing via Sparse Arrays and Pilots
University College London（伦敦大学学院）；Indian Institute of Technology Jodhpur（焦特普尔印度理工学院）；Indian Institute of Technology Kanpur（坎普尔印度理工学院）；University of Southampton（南安普顿大学）
Joint Beamforming Optimization and Dynamic Tracking in RIS-Enabled Secure ISAC Systems
Xi’an Jiaotong University（西安交通大学）；Rocket Force University of Engineering（中国人民解放军战略支援部队工程大学）；Beijing Jiaotong University（北京交通大学）；Beijing University of Posts and Telecommunications（北京邮电大学）；Shanghai Jiao Tong University（上海交通大学）
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）
Dual Target-Mounted RISs-Assisted ISAC Against Eavesdropping and Malicious Interference
Artificial Intelligence and 6G Laboratory (6GEN. LAB.), Turkcell Iletisim Hizmetleri Inc.（Turkcell通信服务公司人工智能与6G实验室）；Communications and Signal Processing Research (HİSAR) Lab., TÜBİTAK-BİLGEM（TÜBİTAK-BİLGEM通信与信号处理研究实验室）；Department of Electrical and Electronics Engineering, Koc University（罗切斯特大学电气与电子工程系）；Department of Electrical Engineering, Tampere University（坦佩雷大学电气工程系）；Electronics and Communication Department, Istanbul Technical University（伊斯坦布尔理工大学电子与通信系）
Physical Layer Security for Integrated Sensing and Communication: A Survey
Graduate School of Engineering, Osaka University（大阪大学大学院工学研究科）；Graduate School of Environment and Information Sciences, Yokohama National University（横滨国立大学环境信息科学研究院）
Joint Secure Transmit Beamforming Designs for Integrated Sensing and Communication Systems
通感一体化（Integrated Sensing and Communication，ISAC）技术是一种新兴的、有前途的技术，它允许单个雷达和通信系统共享相同的频谱带，以缓解频谱拥塞问题。在本文中，我们研究如何利用强雷达信号的固有干扰，以确保所考虑的多用户多输入单输出（MU-MISO）通信和多输入多输出（MIMO）雷达共存系统的物理层安全（PLS）。特别地，在已知窃听者的信道状态信息（CSI）的情况下，提出了通信系统和雷达系统的发射波束形成器的联合设计方法，以最小化多个合法用户的最大窃听信干噪比（SINR），同时保证合法传输的通信服务质量（QoS）、雷达检测性能的要求以及雷达和通信系统两者的发射功率约束。当窃听者的CSI不可用时，我们提出了一种联合人工噪声（AN）辅助发射波束形成设计方案，该方案利用剩余可用功率来生成AN，以破坏恶意接收，同时满足合法传输和雷达目标检测的要求。大量的仿真验证了所提出的联合波束成形设计的ISAC系统的安全传输和所开发的算法的有效性的优势。
Maneuverable-Jamming-Aided Secure Communication and Sensing in A2G-ISAC Systems
Shandong Jiaotong University（山东交通学院）；University of Thessaly（色萨利大学）；Chongqing University of Posts and Telecommunications（重庆邮电大学）；Beijing Institute of Technology（北京理工大学）；University of Nottingham Ningbo China（诺丁汉大学宁波校区）
