Review on modeling and simulation of interdependent critical infrastructure systems

Development of the approach for designing, modelling and research of critical IT infrastructure

“…As an example, for the work of the information and telecommunications system (ITS) at the level of the declared quality of service, the uninterrupted operation of the power supply system is required, while the quality of the power supply system itself depends on the stable operation of the ITS information transmission channels. These bi-directional relationships between critical IT infrastructure systems increase their overall performance, but at the same time increase its complexity and sensitivity to various types of attacks [2,3].…”

Probabilistic Quantification of Community Resilience Using Discrete Event Simulation

“…Five main categories of methodologies have been proposed in the literature [29]: empirical, agent based, system dynamics based, economic theory based, and network based approaches. In the worst case scenario, the loss of functionality of one component can propagate through the whole system, resulting in cascading failures in its clients.…”

Applying complexity science to air traffic management

“…Recently, Ouyang (2014) has provided a rather complete overview of the various modelling approaches available, such as those comprised of, or based, on: empirical modelling; agent-based modelling; system dynamics; economic theory; network topology; network flow; Petri nets; control system theory; hierarchical holographic modelling; high level architecture; and, Bayesian networks. These modelling approaches have been systematically assessed against various resilience improvement objectives for critical infrastructure systems (ibid.).…”

“…In view of the complexity of the air transportation system, there is also a need for the systematic application, validation and integration of complementary modelling approaches. Although high-level architecture modelling is the most generic approach, it faces many challenges in realising a mature application in a complex safety-critical infrastructure (Ouyang, 2014). Overall, agent-based and network-flow based approaches have the widest and proven applicability.…”