arXiv:2506.13590cs.AIcs.CR2025-06被引 3

提出新型协议,让不同智能体安全协作。

Agent Capability Negotiation and Binding Protocol (ACNBP)

  • 设计10步流程,实现异构智能体间能力发现与绑定。
  • 支持数字签名与能力认证,抵御多种安全威胁。
  • 适合开放环境中需要动态协作的智能体系统。

随着多智能体系统向更复杂、专业化的方向发展,如何在异构智能体间实现有效协作成为关键挑战。传统通信协议通常假设环境同质或预设交互模式,难以适应动态开放场景。本文提出代理能力协商与绑定协议(ACNBP),通过集成代理名称服务(ANS)基础设施,提供全面的发现、协商与绑定机制。协议采用结构化10步流程,涵盖能力发现、候选预筛选、安全协商及绑定承诺,内置数字签名、能力证明与综合威胁缓解策略。其关键创新在于协议扩展机制,支持向后兼容的协议演进,兼容多样架构的同时保障安全与互操作性。通过MAESTRO威胁建模框架进行安全性分析,结合实际实现与文档翻译场景示例,验证了协议在代理自主性、能力验证、安全通信及可扩展生态管理方面的有效性。

原文摘要 · Abstract (English)

As multi-agent systems evolve to encompass increasingly diverse and specialized agents, the challenge of enabling effective collaboration between heterogeneous agents has become paramount, with traditional agent communication protocols often assuming homogeneous environments or predefined interaction patterns that limit their applicability in dynamic, open-world scenarios. This paper presents the Agent Capability Negotiation and Binding Protocol (ACNBP), a novel framework designed to facilitate secure, efficient, and verifiable interactions between agents in heterogeneous multi-agent systems through integration with an Agent Name Service (ANS) infrastructure that provides comprehensive discovery, negotiation, and binding mechanisms. The protocol introduces a structured 10-step process encompassing capability discovery, candidate pre-screening and selection, secure negotiation phases, and binding commitment with built-in security measures including digital signatures, capability attestation, and comprehensive threat mitigation strategies, while a key innovation of ACNBP is its protocolExtension mechanism that enables backward-compatible protocol evolution and supports diverse agent architectures while maintaining security and interoperability. We demonstrate ACNBP's effectiveness through a comprehensive security analysis using the MAESTRO threat modeling framework, practical implementation considerations, and a detailed example showcasing the protocol's application in a document translation scenario, with the protocol addressing critical challenges in agent autonomy, capability verification, secure communication, and scalable agent ecosystem management.

多智能体协议设计安全协作异构系统

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