Assessing resilience of urban lifeline networks to intentional attacks. (March 2021)

• Record Type: Journal Article
• Authors: Han, Lin; Zhao, Xudong; Chen, Zhilong; Gong, Huadong; Hou, Benwei
• Is Part Of: Reliability engineering & system safety. Volume 207(2021)
• Publication Date: 2021-03
• Subjects: Lifeline network -- Intentional attack -- Resilience -- Recovery -- Game-theoretic model; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2020.107346
• Languages: English
• ISSNs: 0951-8320

Abstract

Highlights: Framework for assessing resilience of lifeline network to intentional attack. Game-theoretic model to predict the most likely strategies of both the attacker and the defender at Nash equilibrium. Newly proposed feature 'degree of recovery' to quantify differences in network's performance (pre-attack vs. post-recovery). Applied framework to standard IEEE 30-bus network. Revealed effects of recovery budget and recovery resource on the resilience of lifeline network. Abstract: Lifeline networks are critical to urban economies and societies. Resilience is an emerging concept for analyzing the dynamic performances of critical infrastructures impacted by natural hazards or attacks. Although many studies have examined how to assess the resilience of lifeline networks to natural disasters, very few have investigated resilience to intentional attacks. This study presents a framework for assessing the resilience of urban lifeline networks to intentional attacks. Using a game-theoretic model, this framework can firstly predict the most likely strategies of both the attacker and defender at Nash equilibrium as the preconditions for resilience assessment. Then a new feature 'degree of recovery' is proposed to quantify differences in network's performance (pre-attack vs. post-recovery). The framework also integrates a requirement for functional characteristics in designing the performance response function of lifeline networks. In the case study of IEEE 30-bus network, the most likely strategies of attacker and defender at Nash equilibrium were figured out. Then the resilience of network was assessed and thoroughly discussed. The results showed that the recovery resource and budget had different effects on the resilience. Furthermore, it was demonstrated how the assessment framework can provide a quick reference tool for optimal decision-making under various scenarios.