SpiderSim用多智能体快速生成工业网络安全仿真场景。
Poster: SpiderSim: Multi-Agent Driven Theoretical Cybersecurity Simulation for Industrial Digitalization
- 通过结构化框架与多智能体协作，自动构建安全场景。
- 在海洋牧场监控等场景中实现高效、广覆盖的生成。
- 开源平台适合工业网络安全自动化测试研究者使用。
快速的工业数字化催生了复杂的网络安全需求，亟需有效的验证方法。尽管网络靶场和仿真平台广泛应用，但普遍存在场景多样性不足与生成效率低的问题。本文提出SpiderSim——一种理论驱动的网络安全仿真平台，支持工业数字化安全研究中的快速轻量级场景生成。核心创新包括：统一场景建模的结构化框架、多智能体协同的自动化生成机制，以及模块化的原子安全能力，便于灵活组合。在海洋牧场监控系统等多个工业数字化场景中进行的广泛实测验证了平台在高效生成过程下的广泛覆盖能力。基于坚实的理论基础并开源发布，SpiderSim推动了工业数字化安全自动化测试的研究与开发。
原文摘要 · Abstract (English)
Rapid industrial digitalization has created intricate cybersecurity demands that necessitate effective validation methods. While cyber ranges and simulation platforms are widely deployed, they frequently face limitations in scenario diversity and creation efficiency. In this paper, we present SpiderSim, a theoretical cybersecurity simulation platform enabling rapid and lightweight scenario generation for industrial digitalization security research. At its core, our platform introduces three key innovations: a structured framework for unified scenario modeling, a multi-agent collaboration mechanism for automated generation, and modular atomic security capabilities for flexible scenario composition. Extensive implementation trials across multiple industrial digitalization contexts, including marine ranch monitoring systems, validate our platform's capacity for broad scenario coverage with efficient generation processes. Built on solid theoretical foundations and released as open-source software, SpiderSim facilitates broader research and development in automated security testing for industrial digitalization.
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