车联网物理层安全初探：从通信干扰到感知干扰的转变
First Glimpse on Physical Layer Security in Internet of Vehicles: Transformed from Communication Interference to Sensing Interference
AI总结：
针对车联网通感一体化系统的物理层安全问题，提出利用固有雷达感知干扰并联合优化通信时长、功率与轨迹，实现3.92 bps/Hz保密速率。
摘要：
通感一体化（ISAC）在车联网（IoV）中发挥着关键作用，是提升驾驶安全与交通效率的重要因素。为应对无线介质固有开放性所导致的机密信息传输安全挑战，不同于现有依赖额外通信干扰并消耗额外功率资源的物理层安全（PLS）方法，本文研究了一种新颖的PLS方案，即利用车辆固有的雷达感知干扰来保障无线通信安全。为衡量基于ISAC的IoV系统中PLS方法的性能，本文首先定义了一种改进的安全性能指标，称为基于传输可靠性与感知精度的保密速率（TRSA_SR），并分别推导了连接中断概率（COP）、保密中断概率（SOP）和成功测距概率（SRP）的闭式表达式，用于评估传输可靠性、安全性和感知精度。此外，本文构建了一个优化问题，通过利用雷达感知干扰，并联合设计通信时长、发射功率以及合法发射机的直线轨迹，使TRSA_SR最大化。最后，通过问题分解和交替优化求解所构建问题的非凸特性。仿真表明，与获得非正保密传输容量（STC）的传统PLS方法相比，所提方法在不同噪声功率设置下实现了3.92 bps/Hz的保密速率。
英文摘要：
Integrated sensing and communication (ISAC) plays a crucial role in the Internet of Vehicles (IoV), serving as a key factor in enhancing driving safety and traffic efficiency. To address the security challenges of the confidential information transmission caused by the inherent openness nature of wireless medium, different from current physical layer security (PLS) methods, which depends on the \emph{additional communication interference} costing extra power resources, in this paper, we investigate a novel PLS solution, under which the \emph{inherent radar sensing interference} of the vehicles is utilized to secure wireless communications. To measure the performance of PLS methods in ISAC-based IoV systems, we first define an improved security performance metric called by transmission reliability and sensing accuracy based secrecy rate (TRSA\_SR), and derive closed-form expressions of connection outage probability (COP), secrecy outage probability (SOP), success ranging probability (SRP) for evaluating transmission reliability, security and sensing accuracy, respectively. Furthermore, we formulate an optimization problem to maximize the TRSA\_SR by utilizing radar sensing interference and joint design of the communication duration, transmission power and straight trajectory of the legitimate transmitter. Finally, the non-convex feature of formulated problem is solved through the problem decomposition and alternating optimization. Simulations indicate that compared with traditional PLS methods obtaining a non-positive STC, the proposed method achieves a secrecy rate of 3.92bps/Hz for different settings of noise power.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
