AIRCC's International Journal of Computer Science and Information Technology

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Information security risk analysis becomes an increasingly essential component of organization's operations. Traditional Information security risk analysis is quantitative and qualitative analysis methods. Quantitative and qualitative analysis methods have some advantages for information risk analysis. However, hierarchy process has been widely used in security assessment. A future research direction may be development and application of soft computing such as rough sets, grey sets, fuzzy systems, generic algorithm, support vector machine, and Bayesian network and hybrid model. Hybrid model are developed by integrating two or more existing model. A Practical advice for evaluation information security risk is discussed. This approach is combination with AHP and Fuzzy comprehensive method.

Keywords

Information Security Risk Analysis, Quantitative Risk Assessment Methods, Qualitative Risk Assessment Method, Analytical Hierarchy Process, Soft Computing.
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