Integrated process safety and process security risk assessment of industrial cyber-physical systems in chemical plants

风险分析(工程) 脆弱性(计算) 贝叶斯网络 信息物理系统 工艺安全 相互依存 计算机安全 过程(计算) 风险评估 故障树分析 概率逻辑 脆弱性评估 计算机科学 概率风险评估 工程类 领结 系统安全 可靠性工程 在制品 业务 运营管理 操作系统 电信 心理学 天线(收音机) 人工智能 心理治疗师 心理弹性 法学 政治学
作者
Shuaiqi Yuan,Ming Yang,Genserik Reniers
出处
期刊:Computers in Industry [Elsevier BV]
卷期号:155: 104056-104056 被引量:37
标识
DOI:10.1016/j.compind.2023.104056
摘要

<p>Aligned with the development needs of Industry 4.0, industrial cyber-physical systems (ICPSs) are widely applied to chemical facilities to facilitate so-called intelligent production processes. Meanwhile, emerging cyber-to-physical (C2P) risks are introduced due to the vulnerability of ICPSs to cyberattacks. An integrated safety and security risk assessment of chemical facilities equipped with industrial cyber-physical systems becomes challenging, particularly in performing a probabilistic/quantitative risk assessment. Targeting this gap, this study develops a systematic approach to construct accident scenarios concerning both safety hazards and security threats and performs a probabilistic risk assessment of chemical facilities considering the interdependency between safety-associated events and security-associated events. In the proposed approach, bow-tie technique is used to perform a safety risk analysis, and meanwhile, the possible dangerous scenarios caused by physical attacks and C2P attacks are also identified and integrated into the bow-tie diagram. Particularly, attack impact modeling of C2P attacks helps to identify dangerous attack modes, and a time-to-compromise (TTC) based method is used to quantify the vulnerability of ICPSs to C2P attacks. Then, a Bayesian network (BN) model is developed to perform an integrated safety and security risk analysis. An illustrative case study is used in this study to give guidance on performing integrated safety and security risk assessment of ICPSs and validate the feasibility of the proposed approach.</p>

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
自由灵安发布了新的文献求助10
刚刚
jjh完成签到,获得积分20
1秒前
1秒前
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
1秒前
酷波er应助科研通管家采纳,获得10
1秒前
molihuakai应助科研通管家采纳,获得10
2秒前
深情安青应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
2秒前
CipherSage应助科研通管家采纳,获得10
2秒前
香蕉觅云应助科研通管家采纳,获得10
2秒前
3秒前
Owen应助科研通管家采纳,获得10
3秒前
英姑应助科研通管家采纳,获得10
3秒前
酷波er应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
4秒前
AJ完成签到,获得积分10
4秒前
鲁路修完成签到,获得积分10
4秒前
安蓝发布了新的文献求助10
5秒前
5秒前
6秒前
xing应助gbtj123采纳,获得10
7秒前
7秒前
今后应助wlei采纳,获得10
8秒前
9秒前
李特冷发布了新的文献求助10
9秒前
葡小小发布了新的文献求助10
9秒前
热情的如雪完成签到,获得积分10
10秒前
小手冰凉完成签到,获得积分10
10秒前
酷波er应助奋斗的好狗采纳,获得10
10秒前
wlei发布了新的文献求助10
14秒前
王双芬完成签到 ,获得积分10
15秒前
ylin发布了新的文献求助10
15秒前
所所应助zhangy采纳,获得10
19秒前
在水一方应助kikipan采纳,获得10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7614966
求助须知:如何正确求助?哪些是违规求助? 9190234
关于积分的说明 19691710
捐赠科研通 7187588
什么是DOI,文献DOI怎么找? 3271186
关于科研通互助平台的介绍 2434525
邀请新用户注册赠送积分活动 2266259