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Risk Analysis for Critical Systems with Reliability Block Diagrams

Weyns, Kim LU and Höst, Martin LU (2012) 9th International Conference on Information Systems for Crisis Response and Management
Abstract
Governmental organisations are becoming more critically dependant on IT systems such as communication systems or patient data systems, both for their everyday tasks and their role in crisis relief activities. Therefore it is important for the organisation to analyse the reliability of these systems as part of the organisation’s risk and vulnerability analysis process. This paper presents a practical risk analysis method for critical, large-scale IT systems in an organisation. The method is based on reliability block diagram modelling and was adapted to fit the requirements of governmental organisations and to reduce the effort required to capture complex failure behaviour. The paper first explicitly lists the requirements that such a risk... (More)
Governmental organisations are becoming more critically dependant on IT systems such as communication systems or patient data systems, both for their everyday tasks and their role in crisis relief activities. Therefore it is important for the organisation to analyse the reliability of these systems as part of the organisation’s risk and vulnerability analysis process. This paper presents a practical risk analysis method for critical, large-scale IT systems in an organisation. The method is based on reliability block diagram modelling and was adapted to fit the requirements of governmental organisations and to reduce the effort required to capture complex failure behaviour. The paper first explicitly lists the requirements that such a risk analysis method must fulfil, then presents the proposed risk analysis method and finally outlines the planned evaluation of this method. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Risk Analysis, Reliability Block Diagram, Government, Critical System, Availability
host publication
Proceedings of the 9th International ISCRAM Conference
pages
5 pages
conference name
9th International Conference on Information Systems for Crisis Response and Management
conference location
Vancouver, Canada
conference dates
2012-04-22 - 2012-04-25
external identifiers
  • scopus:84905590051
ISBN
978-0-86491-332-6
project
FRIVA
language
English
LU publication?
yes
id
83cf09ff-d32d-435f-8d22-9bb0b9d6f774 (old id 2536795)
date added to LUP
2016-04-04 10:46:04
date last changed
2022-05-17 03:22:57
@inproceedings{83cf09ff-d32d-435f-8d22-9bb0b9d6f774,
  abstract     = {{Governmental organisations are becoming more critically dependant on IT systems such as communication systems or patient data systems, both for their everyday tasks and their role in crisis relief activities. Therefore it is important for the organisation to analyse the reliability of these systems as part of the organisation’s risk and vulnerability analysis process. This paper presents a practical risk analysis method for critical, large-scale IT systems in an organisation. The method is based on reliability block diagram modelling and was adapted to fit the requirements of governmental organisations and to reduce the effort required to capture complex failure behaviour. The paper first explicitly lists the requirements that such a risk analysis method must fulfil, then presents the proposed risk analysis method and finally outlines the planned evaluation of this method.}},
  author       = {{Weyns, Kim and Höst, Martin}},
  booktitle    = {{Proceedings of the 9th International ISCRAM Conference}},
  isbn         = {{978-0-86491-332-6}},
  keywords     = {{Risk Analysis; Reliability Block Diagram; Government; Critical System; Availability}},
  language     = {{eng}},
  title        = {{Risk Analysis for Critical Systems with Reliability Block Diagrams}},
  url          = {{https://lup.lub.lu.se/search/files/5616608/2536825.pdf}},
  year         = {{2012}},
}