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Document Type |
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Thesis |
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Document Title |
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Protecting Sensitive Data on Cloud Service Provider حماية البيانات الخاصة من قبل مزود الخدمة السحابية |
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Subject |
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Faculty of Computing and Information Technology |
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Document Language |
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Arabic |
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Abstract |
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Most companies are skeptical about the security and insurance measures offered by cloud services and are reluctant to store sensitive data, such as employee records, in the cloud. Thus, more effort is needed to support the security of information in cloud computing. In this thesis, we conduct a theoretical study of security issues related to data security in cloud computing. This is followed by a survey of the techniques and algorithms used to support data security, integrity and confidentiality. Then, we propose a cryptography algorithm called the “random algorithm” which is built on the idea of randomizing the encryption of uploaded files among five encryption algorithms. The proposed fragmentation technique adds security and privacy to cloud storage applications. Based on earlier studies, we have created a file-level fragmentation technique that does not work at the database level, in contrast to commonly employed fragmentation techniques, such as horizontal fragmentation, vertical fragmentation, and hybrid fragmentation, which work at the database level. The proposed encryption algorithm and fragmentation technique work within an integrated security framework that includes a user authentication gateway that encrypts user registration data through a cryptography algorithm called the Rivest-Shamir-Adleman algorithm (RSA). The results of the proposed security framework were positive, as it contributed to reducing the encryption time and decoding time by approximately 99%, compared to earlier studies.
Index Terms - Data security; cloud computing; fragmentation; user privacy; encryption algorithms. |
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Supervisor |
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Prof. Dr. Maher Ali Khemakhem |
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Thesis Type |
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Master Thesis |
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Publishing Year |
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1441 AH
2020 AD |
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Added Date |
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Monday, June 8, 2020 |
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Researchers
| مريم عبيد الرشيدي | Alrashidy, Mariam Obid | Researcher | Master | |
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