Ontology-based approach to disruption scenario generation for critical infrastructure systems
by Paolo Trucco; Boris Petrenj; Sara Bouchon; Carmelo Di Mauro
International Journal of Critical Infrastructures (IJCIS), Vol. 12, No. 3, 2016

Abstract: The systematic and complete identification of relevant disruption scenarios for critical infrastructure (CI) systems is still one of the major challenges to achieve a better resilience planning and engineering. The study aims to assist authorities and operators in this endeavour through creating a comprehensive and multi-dimensional all-hazards catalogue for CI. It is implemented by developing two ontologies: 1) CI systems ontology, covering energy, transport, water and telecommunications sectors, each being described through two sub-ontologies (physical and functional) interconnected within the service delivery process model; 2) hazards and threats ontology, comprising different typologies of events, their attributes, and possible effects to CI systems. The two ontologies are connected through vulnerability and (inter)dependency models. The main results achieved include: 1) a generalised and standardised specification framework for CIs and services; 2) a generalised and standardised all-hazards catalogue for CI; 3) an improved scenario generation process to support CI risk assessment.

Online publication date: Fri, 09-Sep-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Critical Infrastructures (IJCIS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com