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Faucett C, Vierow Kirkland K. State-of-the-Art in Evaluation Approaches for Risk Assessment of Insider Threats to Nuclear Facility Physical Protection Systems. NUCL SCI ENG 2022. [DOI: 10.1080/00295639.2022.2130635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Chris Faucett
- Texas A&M University, Department of Nuclear Engineering, College Station, Texas
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A holistic framework for process safety and security analysis. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Dong M, Meng Y, Qin C, Li T, Zhang T, Zhao D. Coupling evolution effect between security system vulnerability and security incident in petrochemical plants. J Loss Prev Process Ind 2022. [DOI: 10.1016/j.jlp.2021.104682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Li J, Goerlandt F, Reniers G, Feng C, Liu Y. Chinese international process safety research: Collaborations, research trends, and intellectual basis. J Loss Prev Process Ind 2022. [DOI: 10.1016/j.jlp.2021.104657] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Eggers S, Le Blanc K. Survey of cyber risk analysis techniques for use in the nuclear industry. PROGRESS IN NUCLEAR ENERGY 2021. [DOI: 10.1016/j.pnucene.2021.103908] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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A chemical plant protection game incorporating bounded rational attackers and distribution-free uncertainties. J Loss Prev Process Ind 2021. [DOI: 10.1016/j.jlp.2021.104545] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Dong M, Meng Y, Song X, Qin C, Bai M, Yin F, Zhao D. Research on vulnerability analysis model of security accident system in petrochemical enterprises. PROCESS SAFETY PROGRESS 2021. [DOI: 10.1002/prs.12285] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Mingxin Dong
- College of Mechanical and Electrical Engineering China University of Petroleum (East China) Qingdao Shandong China
| | - Yifei Meng
- The Center For Chemical Process Safety‐China Section, China University of Petroleum (East China) Qingdao Shandong China
- College of Chemical Engineering China University of Petroleum (East China) Qingdao Shandong China
| | - Xiaomiao Song
- College of Mechanical and Electrical Engineering China University of Petroleum (East China) Qingdao Shandong China
| | - Chuanrui Qin
- College of Mechanical and Electrical Engineering China University of Petroleum (East China) Qingdao Shandong China
| | - Mingqi Bai
- College of Chemical Engineering China University of Petroleum (East China) Qingdao Shandong China
| | - Fabo Yin
- Qingdao OASIS Environment and Safety Technology Co., Ltd, China University of Petroleum (East China) Qingdao Shandong China
| | - Dongfeng Zhao
- The Center For Chemical Process Safety‐China Section, China University of Petroleum (East China) Qingdao Shandong China
- College of Chemical Engineering China University of Petroleum (East China) Qingdao Shandong China
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A Decision Framework for Managing the Risk of Terrorist Threats at Rail Stations Interconnected with Airports. SAFETY 2018. [DOI: 10.3390/safety4030036] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
This paper highlights a risk-based decision-making framework on a basis of probabilistic risk assessment (PRA). Its aim is to enable stakeholders of transport infrastructures to systematically and effectively allocate their limited resources and consequently improve resilience when facing the potential risk of a terrorist attack. The potential risk of a terrorist attack affects the inter-operation of transportation infrastructures including airports and rail stations, the regional economy, and imposes additional costs of security or any countermeasures. This novel framework is thus established in order to model the security system, to consider a multitude of threat scenarios, and to assess the decisions and choices taken by the aggressors during various stages of their attack. The framework has capability to identify the state of partial neutralization, which reveals the losses incurred when the terrorist could not reach the primary target. In this study, an underground railway station interconnected to an international airport has been used as a case study to demonstrate the effectiveness of this novel framework. By the rigorous assessment of potential losses during a variety of threat scenarios, four countermeasures that could minimise losses are proposed: screening of passengers by observation techniques (SPOT), a surveillance system, increase of the cargo screening rate, and blast-resistant cargo containers. The cost and efficiency assessment is employed to determine the most suitable countermeasures when the value of the security measures equal their cost. Note that ongoing research is still needed to establish better countermeasures since there is no end to the creativity of terrorists. The new technology, such as wireless sensors, will play an important role in the security system in the future. In particular, this study will help insurance and rail industries to model and manage risk profiles at critical infrastructure.
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