Analysis and Statistical Properties of Critical Infrastructure Interdependency Multiflow Models

Modelling Dependencies Between Critical Infrastructures

“…In [21] there is an attempt to formalize the interdependent dynamics among several heterogeneous infrastructures. In this framework a metric for the level of functionality of an infrastructure is given by the sum of the functionality of the infrastructure components divided by the number of components.…”

“…In this framework a metric for the level of functionality of an infrastructure is given by the sum of the functionality of the infrastructure components divided by the number of components. This approach has been used in [21] to analyze the interconnection of electric grid and telephony network: to investigate the effect, on the telephony network, of removing from the power distribution network one or two nodes, they introduce as metric the remaining fraction of functional telecommunication nodes.…”

“…2 Taxonomy of dependency and failure adapted by [1,8] graph), while dependencies are inferred assuming some sort of relationship existing among nodes belonging to different networks [19,20,21]. Topology-based or structural approaches generally identify discrete states for each component (node or link) and usually with two states: failed and normal, i.e., each node is either fully working or completely out-of-work.…”

Integrated Cyber-Physical Simulation of Intelligent Water Distribution Networks

“…A considerable fraction of related work examines critical infrastructure systems. The focus of the majority of studies related to CPSs, e.g., Haimes & Jiang (2001); Pederson (2006); Rinaldi (2004); Svendsen & Wolthusen (2007) is on interdependencies among different components of critical infrastructure. A relatively comprehensive summary of modeling and simulation techniques for critical infrastructure systems, an important category of CPSs, is provided in Rinaldi (2004).…”

Study on Network Vulnerability Identification and Equilibrated Network Immunization Strategy

“…It considers it will bring greater damages to a network if attacking the nodes with higher betweenness. [24] uses statistical method to identify critical components with high connectivity in network. It believes the robust of network can be enhanced by protecting these critical complements (complements with high link betweenness or node degree).…”