RIS辅助的安全ISAC：基础、应用与未来方向

中文摘要 AI 辅助

集成感知与通信（ISAC）已成为第六代（6G）网络的关键使能技术，然而其在物理层的广播特性使得传输易受恶意窃听攻击，尤其是在物理阻塞导致直连链路退化的情况下。可重构智能表面（RIS）提供了一种在物理层应对这些问题的有前景的防御范式，通过重建虚拟视距链路并动态重塑空间传播环境。本文对RIS辅助的安全ISAC系统进行了全面综述，涵盖其基础原理、实际应用及开放性的未来研究方向。我们首先概述了协作部署拓扑和基本电磁工作原理。随后，我们分析了无源RIS集成在缓解通信保密性、感知精度和硬件可持续性之间资源竞争瓶颈方面的技术优势。我们还介绍了代表性应用，包括城市车载网络、无人机支持下的监控、工业物联网以及智能家居中的隐私保护。一项案例研究量化了在直连链路完全阻塞情况下，通过联合有源和无源波束成形所实现的保密速率和空间零陷能力的增益。最后，我们指出了关键开放挑战和未来研究方向，以实现RIS辅助的安全ISAC系统的实用、可扩展和智能化部署。

英文摘要

Integrated sensing and communication (ISAC) has emerged as a key enabler for sixth-generation (6G) networks, yet its broadcast nature at the physical layer leaves transmissions vulnerable to malicious eavesdropping, particularly when physical blockages degrade direct links. Reconfigurable intelligent surface (RIS) offers a promising defense paradigm at the physical layer to address these issues, by reconstructing virtual line-of-sight links and dynamically reshaping the spatial propagation environment. In this article, we provide a comprehensive overview of RIS-assisted secure ISAC systems, covering its fundamentals, practical applications, and open future research directions. We first outline cooperative deployment topologies and basic electromagnetic operating principles. We then analyze the technical advantages of passive RIS integration in mitigating bottlenecks in resource competition across communication secrecy, sensing precision, and hardware sustainability. We also present representative applications, including urban vehicular networks, monitoring with unmanned aerial vehicle support, industrial Internet-of-thing, and privacy in smart homes. A case study quantifies gains in secrecy rate and spatial nulling capabilities achieved through joint active and passive beamforming under full blockage of direct links. Finally, we identify key open challenges and future research directions to enable practical, scalable, and intelligent deployment of RIS-assisted secure ISAC systems.

发表机构

• Xi’an Jiaotong University（西安交通大学）
• Beijing Jiaotong University（北京交通大学）
• Shanghai Jiao Tong University（上海交通大学）

机构由 AI 辅助整理，请以论文原文为准。