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Towards a Hybrid Data Partitioning Technique for Secure Data Outsourcing

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dc.contributor.author Badran, Sultan
dc.contributor.author Arman, Nabil
dc.contributor.author Farajallah, Mousa
dc.date.accessioned 2022-01-18T11:48:43Z
dc.date.accessioned 2022-05-22T08:56:38Z
dc.date.available 2022-01-18T11:48:43Z
dc.date.available 2022-05-22T08:56:38Z
dc.date.issued 2020-12-28
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/8453
dc.description.abstract In light of the progress achieved by the technology sector in the areas of internet speed and cloud services development, and in addition to other advantages provided by the cloud such as reliability and easy access from anywhere and anytime, most data owners find an opportunity to take advantage of the cloud to store data. However, data owners find a challenge that was and is still facing them in the field of outsourcing, which is protecting sensitive data from leakage. Researchers found that partitioning data into partitions, based on data sensitivity, can be used to protect data from leakage and to increase performance by storing the partition, which contains sensitive data in an encrypted form. In this paper, we review the methods used in designing partitions and dividing data approaches. A hybrid data partitioning approach is proposed to improve these techniques. We consider the frequency attack types used to … en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.title Towards a Hybrid Data Partitioning Technique for Secure Data Outsourcing en_US
dc.type Article en_US


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