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面向工业控制系统全生命周期的脆弱性多维协同分析
引用本文:李欣格,胡晓娅,周纯杰,尹泉.面向工业控制系统全生命周期的脆弱性多维协同分析[J].控制与决策,2022,37(11):2827-2838.
作者姓名:李欣格  胡晓娅  周纯杰  尹泉
作者单位:华中科技大学 人工智能与自动化学院,武汉 430070;华中科技大学 网络空间安全学院,武汉 430070
基金项目:国家重点研发计划项目(2020YFB1708601);国家自然科学基金项目(61873103,61433006).
摘    要:工业互联网背景下,工业控制系统面临攻击防不住、脆弱性易暴露的安全挑战,要保障系统安全稳定运行,首先需要深入探究引发工业控制系统故障的原因,明确系统脆弱性机理.针对当前单点或局部脆弱性分析的局限性,面向工业控制系统全生命周期安全需求及特征,提出脆弱性多维协同分析框架,通过模型驱动的系统静态、动态脆弱性分析以及多域融合评估,剖析和挖掘系统脆弱点及其关联渗透过程,生成系统脆弱性知识.所提出框架首次明确脆弱性含义,同时全生命周期需求覆盖以及一体化架构特性有助于实现系统全局脆弱性机理揭示.

关 键 词:工业控制系统  脆弱性  多维协同分析  全生命周期

Multi-dimensional collaborative analysis of vulnerability for full-lifecycle of industrial control systems
LI Xin-ge,HU Xiao-y,ZHOU Chun-jie,YIN Quan.Multi-dimensional collaborative analysis of vulnerability for full-lifecycle of industrial control systems[J].Control and Decision,2022,37(11):2827-2838.
Authors:LI Xin-ge  HU Xiao-y  ZHOU Chun-jie  YIN Quan
Affiliation:School of Artificial Intelligence and Automation,Huazhong University of Sicience and Technology,Wuhan 430070,China;School of Cyber Science and Engineering,Huazhong University of Sicience and Technology,Wuhan 430070,China
Abstract:In the context of industrial internet, industrial control systems are faced with the challenges of attack intrusion and vulnerability exposure. In order to ensure the safe and stable operation of industrial control systems, it is neccessary to explore the cause of system failures and clarify potential vulnerabilities. In this paper, based on the full-lifecycle security requirements and characteristics of industrial control systems, a multi-dimensional collaborative vulnerability analysis framework is proposed. With model-driven system static and dynamic vulnerability analysis, the system vulnerability knowledge is then generated. Meanwhile, the proposed framework firstly clarifies the meaning of vulnerability in industrial control systems, and the full-lifecycle coverage and integrated architectural features are benificial to realize the global vulnerability disclosure of industrial control systems.
Keywords:
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