.png){kind=icon}
返回
A holistic framework for process safety and security analysis
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compchemeng.2022.107963.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
System safety analysis is crucial for preventing losses. To prevent losses, modern safety analysis tools need to capture both safety and security-related risks. This work proposes a holistic safety and security analysis framework that considers both the intentional and unintentional causation of risks. At first, the threats to a process system are identified, followed by analyzing the factors that may lead to these threats. Then the mechanisms to neutralize threats using safeguards are discussed. These steps are modelled in a Bayesian network (BN) framework to capture the probabilistic nature of the events and associated factors. The BN model is used to analyze the real-time risk. The proposed framework is used to study four scenarios. A comparison with previous works confirms that the proposed framework provides better understanding and analysis capabilities. This work will serve as a reference point for further development in integrated safety and security analysis.
Keyword:
Risk assessment
Safety analysis
Security analysis
Bayesian network
Cyber attack
期刊
C
IF:
3.9
论文数:
8.1K
被引数:
1.7W
机构
引用论文
.png){kind=icon}
The impact of nature on chemical industrial facilities: Dealing with challenges for creating resilient chemical industrial parks自然对化学工业设施的影响: 应对创建弹性化学工业园区的挑战
OAAI
OAAI分享收藏
查看更多内容