论文提出可扩展的智能体信任发现架构
A Scalable Trust Discovery Architecture for the Internet of Agents
朋友，这篇论文讲的是怎么解决智能体网络里信任问题的新方法，挺实用的。
这篇论文提出了一种名为‘可扩展信任发现架构’的设计，用于解决智能体网络中大规模注册、可信身份识别和按能力发现的问题。该架构采用分层分布式设计，包含三个层级：Agent Root、Agent Registry 和 Agent Resolver。它还引入了注册后缀锚定的复合身份方案，并使用双证书和多级认证机制来增强智能体之间的身份信任。原型实验显示，其平均注册延迟为58毫秒，平均发现延迟为25毫秒，支持每秒超过19,000次注册请求和超过29,000次智能体发现请求。
A Scalable Trust Discovery Architecture for the Internet of Agents
The Internet of Agents is expected to enable large numbers of autonomous agents to discover, verify, and collaborate with each other across heterogeneous platforms. However, current agent protocols mainly address tool invocation and inter-agent communication, leaving scalable agent registration, trustworthy identification, and capability-oriented discovery largely unresolved. To address this, this paper proposes a scalable trust discovery architecture for the Internet of Agents. The proposed architecture adopts a hierarchical and distributed design consisting of three layers: Agent Root for trusted registry governance, Agent Registry for agent registration and metadata publication, and Agent Resolver for distributed capability discovery and trust-aware resolution. The architecture further introduces a registry-suffix-anchored composite identity scheme, which binds an agent native identifier to a trusted registry suffix to generate a globally discoverable identity. It also incorporates a dual-certificate and multi-level authentication mechanism to strengthen identity trust among agents. We implement a prototype and evaluate it through large-scale agent registration and resolution experiments. The prototype achieves an average registration latency of 58ms and an average discovery latency of 25ms, and it supports more than 19,000 registration requests per second and more than 29,000 agent discovery requests per second. These results demonstrate the feasibility of the proposed architecture, providing a practical approach toward scalable and identity-trusted agent ecosystems in the Internet of Agents.