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3 张论文卡片 · 安全与风险 · 方法

开放获取 全部 绿色 · 724
arXiv-3:A First Look at the Security Issues in the Model Context Protocol Ecosystem
arXiv-3:初探Model Context Protocol生态中的安全问题
arXiv:2510.16558 安全与风险 方法 被引 6 · S2

本文分析了六个公共注册表中共计67,057个服务器,识别出可导致服务器劫持与调用操控的普遍隐患,并实现了MCPInspect——一款集成前分析工具,可检测误导性的工具元数据与可利用的代码漏洞。This paper analyzes 67,057 servers across six public registries and identifies widespread conditions enabling server hijacking and invocation manipulation, and implements MCPInspect, a pre-integration analysis tool that detects misleading tool metadata and exploitable code vulnerabilities.

1. Data Flow Control(DFC):AI Agent 数据安全策略的内核级执行框架
arXiv:2606.05679 安全与风险 方法 OA · 绿色 被引 0 · S2 + OpenAlex

本文将数据安全形式化为 provenance monomials 上的聚合谓词,并提出 Passant——一个无需物化 provenance 即可强制执行 DFC 策略的可移植查询重写层。This paper formalizes data safety as aggregate predicates over provenance monomials and presents Passant, a portable query rewriting layer that enforces DFC policies without materializing provenance.

4.2 Reliability 不等于成功率:12 指标拆出 consistency / robustness / predictability / safety
4.2 Reliability 不等于成功率:12 指标拆出 consistency / robustness / predictability / safety(⭐⭐⭐⭐⭐)
arXiv:2602.16666 安全与风险 方法 Open MIND OA · 绿色 被引 45 · S2

本工作提出 12 个具体指标,从一致性、鲁棒性、可预测性和安全性四个关键维度分解 Agent 可靠性,可与传统评估互补,并提供用于分析 Agent 表现、退化与失败方式的工具。This work proposes twelve concrete metrics that decompose agent reliability along four key dimensions: consistency, robustness, predictability, and safety, which complement traditional evaluations while offering tools for reasoning about how agents perform, degrade, and fail.