Application of fuzzy set theory to evaluate the rate of aggregative risk in information security

Citation

Tamjidyamcholo, Alireza and Yamchello, Hamed Tamjid and Baba, Mohd Sapiyan and Gholipour, Rahmatollah (2013) Application of fuzzy set theory to evaluate the rate of aggregative risk in information security. In: 3rd International Conference on Research and Innovation in Information Systems – 2013 (ICRIIS'13), 27-28 Nov. 2013, Kuala Lumpur, Malaysia. (pp. 410-415).

Abstract

Organizations use different types of information system to reach their goals. Decision makers are required to allocate a security budget and treatment strategy based on the risk priority of information systems. Each of the information systems has different components or assets. However, there is difficulty in aggregating the risk of each component. In this research a model is created to aggregate the risk of information system components to support decisions. Since there is uncertainty in the information security risk analysis area, we used fuzzy set theory in our model.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/ICRIIS.2013.6716745
Publisher:	IEEE
Keywords:	Information security; Risk analysis; Fuzzy set; Risk aggregation
Depositing User:	Nabilah Mustapa
Date Deposited:	04 Aug 2020 02:39
Last Modified:	04 Aug 2020 02:39
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICRIIS.2013.6716745
URI:	http://psasir.upm.edu.my/id/eprint/44940
Statistic Details:	View Download Statistic

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