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.

本研究针对快速工业数字化带来的复杂网络安全需求，提出了SpiderSim，一个用于轻量级场景生成的理论网络安全仿真平台。该平台通过统一场景建模框架、多智能体协作机制和模块化安全能力的创新，显著提高了生成效率和场景多样性，推动了工业数字化安全研究的发展。

SpiderSim：多智能体驱动的工业数字化理论网络安全仿真