Employing the Grey Relational Analysis to Identify and Evaluate Cloud Computing Risks

碩士 === 實踐大學 === 財務金融學系碩士班 === 101 === Cloud computing will provide the basic levels of computing services that are considered essential to meet the everyday needs of the general community, similar to water, gas, telephone, and electrical utilities, but it also inevitably triggers a certain degree of...

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Bibliographic Details
Main Authors: Cong-Syuan An, 安從瑄
Other Authors: Chiang Ku Fan
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/64575880360731227412
Description
Summary:碩士 === 實踐大學 === 財務金融學系碩士班 === 101 === Cloud computing will provide the basic levels of computing services that are considered essential to meet the everyday needs of the general community, similar to water, gas, telephone, and electrical utilities, but it also inevitably triggers a certain degree of loss exposure. Unfortunately, there is little objective, scientific research focused on evaluating the loss exposure that results from cloud computing. In this study, a modified Delphi method and the grey relational analysis (GRA) were employed to identify and evaluate risks of cloud computing. Research findings show that the risks of Agreement or contract, Social engineering, Mistakes made by employees intentionally or accidentally, System vulnerability, and Cross-cloud compatibility are rated highly on severity and frequency. The risks of Privacy and Damaged or spoiled by employees intentionally or accidentally are perceived as being more severe risks but occur at lower frequencies. The risks of Jurisdiction, Burglary, Normal wear and tear or malfunction, and Natural disaster are rated lower on severity and frequency.