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Document Type |
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Thesis |
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Document Title |
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Enhancing Privacy Provision in Cloud Computing تعزيز توفير الخصوصية في السحابة الحاسوبية |
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Subject |
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Faculty of Computing and Information Technology-Computing Sciences |
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Document Language |
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Arabic |
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Abstract |
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Cloud computing is considered a new generation of technology that has offered many benefits such as flexibility, efficiency, reduction in Information Technology (IT) cost, etc. The privacy protection is one of the key challenges that the cloud computing faces. The customers, in cloud computing, depend on cloud provider to manage their data. In addition, the cloud computing resources are shared with multi customers and these resources are located in different regions. All of these lead to many privacy risks.
Although there are researches that addressed privacy issue on cloud computing, but until now there is not any quantitative evaluation to evaluate the privacy in cloud computing. In this thesis, we try to develop an initial quantitative evaluation. First, we proposed a privacy framework for cloud computing by studying the data life-cycle and privacy concerns in cloud computing and by making a comparison among six widely accepted international privacy frameworks. Then, we developed a quantitative evaluating system based on this framework to evaluate whether the cloud provider meets the privacy related issues or not. The aim of this evaluation is to help the customers to know what the privacy's weaknesses on cloud providers; this will help them to make the right-decision.
Finally, we make a case study for three well-known cloud providers (Google App Engine, Amazon Web Services (AWS), and Windows Azure). The results show that the privacy level in Google App Engine was 64%, followed by Windows Azure which was 58%, and then AWS which was 53%. These results prove that the privacy in cloud computing still needs more efforts. Our proposed framework may help the cloud providers to enhance the privacy and to increase the customers’ trust on them if they take into account this privacy framework when designing their services. |
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Supervisor |
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Dr. Omar Abdullah Batarfi |
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Thesis Type |
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Master Thesis |
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Publishing Year |
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1435 AH
2014 AD |
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Added Date |
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Thursday, October 16, 2014 |
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Researchers
| فاطمة نديم الاسودي | AL-Aswadi, Fatima Nadeem | Researcher | Master | |
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