智能体互联网的安全：攻击与对策
Security of Internet of Agents: Attacks and Countermeasures
AI总结：
本文综述智能体互联网（IoA）的安全与隐私问题，系统分析其架构脆弱性、四类攻击风险及防御机制，并指出未来研究方向。
摘要：
随着大型语言模型和视觉语言模型的兴起，AI智能体已演变为具备感知、推理和决策能力的自主交互式系统。随着它们在虚拟和物理领域中的快速扩散，智能体互联网（Internet of Agents，IoA）已成为实现异构智能体之间可扩展且安全协调的关键基础设施。本综述全面考察了IoA系统中的安全与隐私格局。我们首先概述IoA架构及其相较于传统网络的独特脆弱性，聚焦四个关键方面：身份认证威胁、跨智能体信任问题、具身安全以及隐私风险。随后，我们梳理现有和新兴的防御机制，并强调持续存在的挑战。最后，我们确定开放的研究方向，以推动具有韧性且保护隐私的IoA生态系统的发展。
英文摘要：
With the rise of large language and vision-language models, AI agents have evolved into autonomous, interactive systems capable of perception, reasoning, and decision-making. As they proliferate across virtual and physical domains, the Internet of Agents (IoA) has emerged as a key infrastructure for enabling scalable and secure coordination among heterogeneous agents. This survey offers a comprehensive examination of the security and privacy landscape in IoA systems. We begin by outlining the IoA architecture and its distinct vulnerabilities compared to traditional networks, focusing on four critical aspects: identity authentication threats, cross-agent trust issues, embodied security, and privacy risks. We then review existing and emerging defense mechanisms and highlight persistent challenges. Finally, we identify open research directions to advance the development of resilient and privacy-preserving IoA ecosystems.
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。
