Title :
Simulating Critical Infrastructure Cascading Failure
Author :
MacDermott, Aine ; Hurst, William ; Qi Shi ; Merabti, Madjid
Author_Institution :
Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool, UK
Abstract :
The reliance on critical infrastructures, which are heavily interconnected, is one of society´s greatest weaknesses. An individual failure has the potential to have a huge impact on society and affect other infrastructures. Predicting the effects of a cascading failure is a challenge. In this paper, a simulation of a virtual city is presented in order to visualise the effects of a cascading failure. The simulation is used to assess the resulting effect of a telecommunications failure. Data extracted from the simulation is used to evaluate the impact of the failure on the emergency services provision. Behaviour analysis techniques are used to demonstrate how a failure in one infrastructure can impact another and present a way for organisations to plan for its effects.
Keywords :
behavioural sciences computing; government data processing; behaviour analysis techniques; emergency services provision; simulating critical infrastructure cascading failure; society greatest weakness; telecommunications failure; virtual city simulation; Cities and towns; Data mining; Emergency services; Power generation; Power system faults; Power system protection; Security; Behaviour Analysis; Cascading Failure; Critical Infrastructure; Simulation;
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2014 UKSim-AMSS 16th International Conference on
Print_ISBN :
978-1-4799-4923-6
DOI :
10.1109/UKSim.2014.85