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

Bernardo, DV; Chua, BB; Hoang, D

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

Bernardo, DV Chua, BB Hoang, D

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Publication Type:: Conference Proceeding
Citation:: 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings, 2009, pp. 972 - 977
Issue Date:: 2009-12-01

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Field	Value	Language
dc.contributor.author	Bernardo, DV	en_US
dc.contributor.author	Chua, BB	en_US
dc.contributor.author	Hoang, D https://orcid.org/0000-0003-1798-4926	en_US
dc.date.issued	2009-12-01	en_US
dc.identifier.citation	2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings, 2009, pp. 972 - 977	en_US
dc.identifier.isbn	9781424456123	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. ©2009 IEEE.	en_US
dc.relation.ispartof	2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings	en_US
dc.relation.isbasedon	10.1109/NABIC.2009.5393885	en_US
dc.title	Quantitative Security Risk Assessment (SRA) method: An empirical case study	en_US
dc.type	Conference Proceeding
utslib.for	0802 Computation Theory and Mathematics	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Comibatore, India	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

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. ©2009 IEEE.

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http://hdl.handle.net/10453/10842