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Conceptual modelling: choosing a critical infrastructure modelling methodology

Pye, Graeme and Warren, Matthew 2006, Conceptual modelling: choosing a critical infrastructure modelling methodology, in Proceedings of the 7th Australian Information Warfare and Security Conference, [Australian Information Warfare & Security Conference], [Perth, W.A.], pp. 103-113.

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Title Conceptual modelling: choosing a critical infrastructure modelling methodology
Author(s) Pye, Graeme
Warren, Matthew
Conference name Australian Information Warfare & Security Conference (7th : 2006 : Perth, Western Australia)
Conference location Perth, Western Australia
Conference dates 4-5th December 2006
Title of proceedings Proceedings of the 7th Australian Information Warfare and Security Conference
Editor(s) Valli, Craig
Woodward, Andrew
Publication date 2006
Conference series Australian Information Warfare and Security Conference
Start page 103
End page 113
Publisher [Australian Information Warfare & Security Conference]
Place of publication [Perth, W.A.]
Keyword(s) critical infrastructure
dependency
interdependency and modelling
Summary This paper reports on further research undertaken regarding systems modelling as applied to critical infrastructure systems and networks and builds upon the initial modelling research of Pye and Warren (2006a). We discuss system characteristics, inter-relationships, dynamics and modelling of similar systems and why modelling of a critical infrastructure is important. In overview we compare four modelling methods and techniques previously
used to model similar systems and discuss their potential transference to model critical infrastructure systems, before selecting the most promising and suitable for modelling critical infrastructure systems for further research.
ISBN 072980626X
9780729806268
Language eng
Field of Research 080603 Conceptual Modelling
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2006, SECAU
Persistent URL http://hdl.handle.net/10536/DRO/DU:30006101

Document type: Conference Paper
Collections: School of Information and Business Analytics
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