Building resilience in cybersecurity: An artificial lab approach
基于经典传染模型构建人工网络实验室，测试安全与拓扑两类措施以控制系统性网络风险，并讨论对保险与监管实践的启示。
Abstract Based on classical contagion models we introduce an artificial cyber lab : the digital twin of a complex cyber system in which possible cyber resilience measures may be implemented and tested. Using the lab, in numerical case studies, we identify two classes of measures to control systemic cyber risks: security‐ and topology‐based interventions. We discuss the implications of our findings on selected real‐world cybersecurity measures currently applied in the insurance and regulation practice or under discussion for future cyber risk control. To this end, we provide a brief overview of the current cybersecurity regulation and emphasize the role of insurance companies as private regulators. Moreover, from an insurance point of view, we provide first attempts to design systemic cyber risk obligations and to measure the systemic risk contribution of individual policyholders.