为自主系统设计安全审计流程，覆盖威胁分析与防护措施。
Procedimiento de auditoría de ciberseguridad para sistemas autónomos: metodología, amenazas y mitigaciones
- 采用分层方法构建安全审计框架
- 针对机器人场景定制威胁分类体系
- 在四类典型机器人平台验证有效性
近年来，自主系统在工业、医疗、物流及家庭环境中的应用迅速增长，其部署带来显著安全风险，尤其在人机交互环境中更为突出。由于技术进步和系统架构的高度复杂性，自主系统的攻击面持续扩大。本文提出一种面向自主系统的专用安全审计流程，基于分层结构方法、适配机器人场景的威胁分类体系，以及具体缓解措施。通过四个实际案例在代表性机器人平台上进行验证：Ghost Robotics 的 Vision 60 军用四足机器人、Unitree Robotics 的 A1 机器人、Universal Robots 的 UR3 协作机械臂，以及 Aldebaran Robotics 的 Pepper 社交机器人。
原文摘要 · Abstract (English)
The deployment of autonomous systems has experienced remarkable growth in recent years, driven by their integration into sectors such as industry, medicine, logistics, and domestic environments. This expansion is accompanied by a series of security issues that entail significant risks due to the critical nature of autonomous systems, especially those operating in human-interaction environments. Furthermore, technological advancement and the high operational and architectural complexity of autonomous systems have resulted in an increased attack surface. This article presents a specific security auditing procedure for autonomous systems, based on a layer-structured methodology, a threat taxonomy adapted to the robotic context, and a set of concrete mitigation measures. The validity of the proposed approach is demonstrated through four practical case studies applied to representative robotic platforms: the Vision 60 military quadruped from Ghost Robotics, the A1 robot from Unitree Robotics, the UR3 collaborative arm from Universal Robots, and the Pepper social robot from Aldebaran Robotics.
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