

FOLLOWUS
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China
Nari Group Corporation/State Grid Electric Power Research Institute, Nanjing 210000, China
Ming-rui XIAO, E-mail: xiaomingrui@mail.nwpu.edu.cn
Yun-wei DONG, E-mail: yunweidong@nwpu.edu.cn
[ "Qian-wen GOU, E-mail: gqwen@mail.nwpu.edu.cn" ]
[ "Feng XUE, E-mail: xue-feng@sgepri.sgcc.com.cn" ]
[ "Yong-hua CHEN, E-mail: chenyonghua@sgepri.sgcc.com.cn" ]
Received:25 August 2020,
Revised:2020-10-15,
Published:2020-11
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Ming-rui XIAO, Yun-wei DONG, Qian-wen GOU, et al. Architecture-level particular risk modeling and analysis for a cyber-physical system with AADL[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(11): 1607-1625.
Ming-rui XIAO, Yun-wei DONG, Qian-wen GOU, et al. Architecture-level particular risk modeling and analysis for a cyber-physical system with AADL[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(11): 1607-1625. DOI: 10.1631/FITEE.2000428.
信息物理融合系统在安全攸关领域的重要性日益增强。为了在研发早期确保系统的可信属性,特定风险分析扮演了安全性评估工作中的重要角色。人为因素和物理环境是特定风险评估中最为重要的组成部分。因此,有必要综合考虑人和物理环境的行为特征进行安全性分析。为提高架构分析与设计语言(AADL)的建模能力,提出一种新的特定风险模型,同时提出一种基于架构的特定风险分析方法支持信息物理融合系统模型层面的安全性评估。为实现特定风险模型的定量分析,提出从特定风险模型到确定性随机Petri网模型的转换方法。以电力系统中的安全稳定控制系统为例,采用所提方法进行架构模型建模和特定风险分析。
Cyber-physical systems (CPSs) are becoming increasingly important in safety-critical systems. Particular risk analysis (PRA) is an essential step in the safety assessment process to guarantee the quality of a system in the early phase of system development. Human factors like the physical environment are the most important part of particular risk assessment. Therefore
it is necessary to analyze the safety of the system considering human factor and physical factor. In this paper
we propose a new particular risk model (PRM) to improve the modeling ability of the Architecture Analysis and Design Language (AADL). An architecture-based PRA method is presented to support safety assessment for the AADL model of a cyber-physical system. To simulate the PRM with the proposed PRA method
model transformation from PRM to a deterministic and stochastic Petri net model is implemented. Finally
a case study on the power grid system of CPS is modeled and analyzed using the proposed method.
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