Application of fuzzy set theory to evaluate the rate of aggregative risk in information security
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 dif...
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my.upm.eprints.449402020-08-04T02:39:25Z http://psasir.upm.edu.my/id/eprint/44940/ Application of fuzzy set theory to evaluate the rate of aggregative risk in information security Tamjidyamcholo, Alireza Yamchello, Hamed Tamjid Baba, Mohd Sapiyan Gholipour, Rahmatollah 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. IEEE 2013 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/44940/1/Application%20of%20fuzzy%20set%20theory%20to%20evaluate%20the%20rate%20of%20aggregative%20risk%20in%20information%20security.pdf 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). 10.1109/ICRIIS.2013.6716745 |
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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. |
format |
Conference or Workshop Item |
author |
Tamjidyamcholo, Alireza Yamchello, Hamed Tamjid Baba, Mohd Sapiyan Gholipour, Rahmatollah |
spellingShingle |
Tamjidyamcholo, Alireza Yamchello, Hamed Tamjid Baba, Mohd Sapiyan Gholipour, Rahmatollah Application of fuzzy set theory to evaluate the rate of aggregative risk in information security |
author_facet |
Tamjidyamcholo, Alireza Yamchello, Hamed Tamjid Baba, Mohd Sapiyan Gholipour, Rahmatollah |
author_sort |
Tamjidyamcholo, Alireza |
title |
Application of fuzzy set theory to evaluate the rate of aggregative risk in information security |
title_short |
Application of fuzzy set theory to evaluate the rate of aggregative risk in information security |
title_full |
Application of fuzzy set theory to evaluate the rate of aggregative risk in information security |
title_fullStr |
Application of fuzzy set theory to evaluate the rate of aggregative risk in information security |
title_full_unstemmed |
Application of fuzzy set theory to evaluate the rate of aggregative risk in information security |
title_sort |
application of fuzzy set theory to evaluate the rate of aggregative risk in information security |
publisher |
IEEE |
publishDate |
2013 |
url |
http://psasir.upm.edu.my/id/eprint/44940/1/Application%20of%20fuzzy%20set%20theory%20to%20evaluate%20the%20rate%20of%20aggregative%20risk%20in%20information%20security.pdf http://psasir.upm.edu.my/id/eprint/44940/ |
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13.211869 |