Quantitative Security Risk Assessment (SRA) Method: An empirical case study

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dc.contributor.author Bernardo, Daniel en_US
dc.contributor.author Chua, Bee Bee en_US
dc.contributor.author Hoang, Doan en_US
dc.contributor.editor Abraham,Andre Carvalho, Carlos, Brazil Francisco Herrera and Vijayalakshmi Pai en_US
dc.date.accessioned 2010-05-28T09:59:55Z
dc.date.available 2010-05-28T09:59:55Z
dc.date.issued 2009 en_US
dc.identifier 2009000496 en_US
dc.identifier.citation Bernardo Danilo, Chua Bee Bee, and Hoang Doan 2009, 'Quantitative Security Risk Assessment (SRA) Method: An empirical case study', Research Publishing Services, Singapore, pp. 972-977. en_US
dc.identifier.issn 978-1-4244-5612-3 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/10842
dc.description.abstract This paper introduces a novel approach to a more practical Quantitative SRA. The approach formalized in this paper is based on the methods described in various risk assessment frameworks that were described by existing international standards with adjustments combining qualitative and ranking method based on distance-based approach. The successful implementation of this approach in four organizations provides an alternative conventional means of performing a more practical Quantitative SRA, in a manner consistent with current set of standards and practices. en_US
dc.language English en_US
dc.publisher Research Publishing Services en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/NABIC.2009.5393885 en_US
dc.title Quantitative Security Risk Assessment (SRA) Method: An empirical case study en_US
dc.parent World Congress on Nature and Biologically Inspired Computing (NaBIC'09) en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Singapore en_US
dc.identifier.startpage 972 en_US
dc.identifier.endpage 977 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 080309 en_US
dc.personcode 105099 en_US
dc.personcode 020624 en_US
dc.personcode 010772 en_US
dc.percentage 70 en_US
dc.classification.name Software Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom World Congress on Nature and Biologically Inspired Computing en_US
dc.date.activity 20091209 en_US
dc.location.activity Comibatore, India en_US
dc.description.keywords AS/NZS 4360 , Distance-based method , ISO 27001 , Security Risk Assessment , ranking method en_US
dc.staffid en_US
dc.staffid 010772 en_US

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