[论文] Secure Agentic AI and Multimodal Intelligence in 6G Communication Syst...

论文概要

研究领域: ML 作者: Satyam Gaba, Devanshu Motwani, Siva Sai, Vineet Suri, Vikas Ranjan, Vinay Chamola 发布时间: 2026-10-24 arXiv: 2610.30436

中文摘要

第六代（6G）通信系统将通过对多模态智能、边缘计算与自治网络控制的深度整合，支撑沉浸式、意图驱动、低时延服务。在这一场景中，agentic AI 系统可对异构输入推理、调用工具与网络功能、跨分布式实体协调并适应动态环境——这些能力让 agentic 多模态智能在语义通信、数字孪生、零接触网络管理等 6G 应用中前景广阔，但也引入了超越传统 AI 与网络安全模型的安全与隐私风险：漏洞可沿多模态数据流水线、记忆、工具、通信接口与智能体间协调环传播。本文从隐私与安全视角综述面向 6G 跨层通信系统的多模态智能与 agentic AI：给出覆盖感知、记忆、工具使用与多智能体编排的 6G 系统视图；分析感知、认知、动作、记忆与通信各层的威胁模型与攻击面；把现有攻击组织为结构化分类法；回顾包括提示与记忆防御、智能体间信任机制、安全编排与隐私保护学习在内的缓解策略；最后勾勒可信多模态多智能体 6G 系统的开放研究方向。

原文摘要

Sixth-generation (6G) communication systems are expected to support immersive, intent-driven, and latency-critical services through tight integration of multimodal intelligence, edge computing, and autonomous network control. In this setting, agentic AI systems can reason over heterogeneous inputs, use tools and network functions, coordinate across distributed entities, and adapt to dynamic environments. These capabilities make agentic multimodal intelligence promising for 6G applications such as semantic communications, digital twins, and zero-touch network management, but they also introduce security and privacy risks that extend beyond conventional AI and network security models. Vulnerabilities can propagate across multimodal data pipelines, memory, tools, communication interfaces, and inter-agent coordination loops. We survey multimodal intelligence and agentic AI for 6G cross-layered communication systems from the perspectives of privacy and security. We present a 6G-oriented system view spanning perception, memory, tool use, and multi-agent orchestration; analyze threat models and attack surfaces across sensing, cognition, action, memory, and communication layers; organize existing attacks into a structured taxonomy; and review mitigation strategies including prompt and memory defenses, inter-agent trust mechanisms, secure orchestration, and privacy-preserving learning. We conclude by outlining open research directions for trustworthy multimodal multi-agent 6G systems.

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*自动采集于 2026-10-24*

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