首份系统综述AI代理在区块链中的安全与隐私问题
SoK: Security and Privacy of AI Agents for Blockchain
- 构建首个聚焦AI代理与区块链安全隐私的系统性知识框架
- 梳理智能合约分析、交易优化等典型应用场景及其风险
- 适合关注Web3安全与AI治理的研究者和开发者
区块链与智能合约近年来成为去中心化数字生态系统的基石，无需依赖传统中心化机构。尽管其在推动Web3发展中扮演核心角色，但复杂性仍对非专业用户构成显著障碍。为此，基于人工智能（AI）的代理应运而生，成为与区块链环境交互的重要工具，可完成链上数据分析、交易策略优化及智能合约漏洞检测等多种任务。然而，当前研究缺乏针对该交叉领域的全面综述，多数工作仅提供泛化建议，未聚焦特定领域。本文填补这一空白，首次提出面向区块链的AI驱动系统的知识体系化研究，特别关注其安全与隐私维度，揭示其应用现状、局限性及未来研究方向。
原文摘要 · Abstract (English)
Blockchain and smart contracts have garnered significant interest in recent years as the foundation of a decentralized, trustless digital ecosystem, thereby eliminating the need for traditional centralized authorities. Despite their central role in powering Web3, their complexity still presents significant barriers for non-expert users. To bridge this gap, Artificial Intelligence (AI)-based agents have emerged as valuable tools for interacting with blockchain environments, supporting a range of tasks, from analyzing on-chain data and optimizing transaction strategies to detecting vulnerabilities within smart contracts. While interest in applying AI to blockchain is growing, the literature still lacks a comprehensive survey that focuses specifically on the intersection with AI agents. Most of the related work only provides general considerations, without focusing on any specific domain. This paper addresses this gap by presenting the first Systematization of Knowledge dedicated to AI-driven systems for blockchain, with a special focus on their security and privacy dimensions, shedding light on their applications, limitations, and future research directions.
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