Development of fragility models for process equipment affected by physical security attacks

脆弱性(计算) 脆弱性评估 脆弱性 过程(计算) 定量评估 风险分析(工程) 鉴定(生物学) 计算机科学 计算机安全 爆炸物 可靠性工程 工程类 业务 植物 心理治疗师 生物 操作系统 心理学 化学 有机化学 物理化学 心理弹性
作者
Giulia Marroni,Leonardo Casini,Andrea Bartolucci,Sanneke Kuipers,Valeria Casson Moreno,Gabriele Landucci
出处
期刊:Reliability Engineering & System Safety [Elsevier BV]
卷期号:243: 109880-109880 被引量:6
标识
DOI:10.1016/j.ress.2023.109880
摘要

<p>The vulnerability of chemical and process facilities toward physical security attacks depends on the equipment resistance against such attacks and on the performance of Physical Protection Systems (PPS) in place. To enhance the protection against intentional attacks, the development of quantitative vulnerability metrics is essential, nevertheless current standard approaches only offer qualitative or semi-quantitative evaluations. The aim of the present work is to develop a quantitative methodology for the assessment of chemical and process facilities vulnerability towards external acts of interference. The proposed methodology is based both on the evaluation of equipment structural integrity in response to different types of specific impact vectors characterizing intentional attacks and on the quantitative performance assessment of related PPS. In particular, specific fragility models were developed for impact vectors associated with improvised explosive devices, firearms, and incendiary weapons. The novel fragility models were implemented in a comprehensive security vulnerability assessment (SVA) based on Bayesian Networks, in which the contribution of PPS performance was also considered. A case study was defined and analyzed to exemplify the application of the proposed approach. The results obtained allowed for the identification of the most critical security-related escalation scenarios and thus for an improved quantitative SVA.<br></p>
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