Mitigating Escalation Of Cascading Effects Of A Payment Disruption Across Other Critical Infrastructures: Lessons Learned In 15 Simulation-Games

CRITICAL INFORMATION INFRASTRUCTURES SECURITY (CRITIS 2019)(2020)

引用 0|浏览6
暂无评分
摘要
A disruption in one critical infrastructure can quickly lead to cascading effects in several other ones. Much research has been done to analyze dependencies between different critical infrastructures, but little is known about how to mitigate escalation and cascading effects across several critical infrastructures, i.e. how to develop collective critical infrastructure resilience. This research presents the results of 15 simulation-games where groups of 6 to 8 field experts from different sectors were challenged to collaboratively manage a disruption in the payment system that quickly affected food distribution, fuel distribution, transport, health care et cetera. Teams discussed possible strategies, which next were implemented in a computer simulation. Teams could influence the sequence of events on 4 decision points during a 10 day scenario, and play the same scenario several times to test alternative solutions. Each simulation-game session lasted a full day. Data analysis involved the recorded team discussions as well as computer simulation logs of the implemented decisions and their impacts. The results show how escalation and the severity of cascading effects largely depends on the quality of the early crisis response and not so much on the initial disruption. Also, it is shown how cross sectorial collaboration is required. Responses where groups focus too much on cascading effects in one area lead too poor overall performance for society at large. Groups tend to overbalance their mitigating strategies initially, until they arrive at a more balanced strategy that covers challenges in several different critical infrastructures from an integral perspective.
更多
查看译文
关键词
Critical infrastructures, Resilience, Gaming-simulation, Cross-sectorial collaboration
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要