An agent-based service-oriented simulation suite for critical infrastructure behaviour analysis

Abstract

Critical infrastructure systems are complex networks of adaptive sociotechnical systems that provide the most fundamental requirements of the society. Their importance in the smooth conduct of the society has made their role more and more prominent. A failure in any of these important components of today's industrial society can well affect the lives of millions of people. It is not only their individual break down that raises serious concerns, but their mutual reliance (interdependency) is even more threatening. Although interdependency in these infrastructure systems provides many benefits for their operation, a failure in one can ripple down to the others and cause a catastrophic irremunerable event. In this paper, we have introduced a simulation suite for analyzing the behavior of interdependent critical infrastructure systems. The simulation suite focuses on the types of services that are provided by infrastructure components. Each infrastructure system component is modeled as an agent and its services as its behavior. We believe that this simulation suite can assist researchers in better understanding critical infrastructure behavior and hence prevent catastrophic failures.

UML-CI: A reference model for profiling critical infrastructure systems

“…This would allow a deeper understanding of the dynamic behavior of an infrastructure system based on its current setting and under various simulation scenarios. For the simulation aspect of this process, we have already developed a simulation suite, AIMS (Bagheri et al 2007), that receives as input a structured critical infrastructure simulation specification document and creates a multiagent platform under which the behavior of an infrastructure system can be observed and analyzed. Our future work would be to convert the PIM developed using UML-CI into PSM that are suited for execution in AIMS.…”

Identifying Extreme Risks in Critical Infrastructure Interdependencies

“…In the context of our problem, impact refers to the magnitude of the disruption in the network computed according to various metrics used in network theory such as, e.g. the giant component size 17,18 , using agent-based simulation 19,20,21,22 . Probability refers to the probability of the failures propagating/leading to the disruption.…”

Decision Making Issues Related to Critical Infrastructures Interdependencies Management

“…pipes, switches ...). In this paper [9], the authors focused on the AIMS approach and the Service Oriented Simulation to model services, routes and scenarios existing between the various components of interdependent critical infrastructures, such that each agent models one of these components and their behavior outlines the provided services.…”