Encrypted Storage and Retrieval in Cloud Storage Applications |
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Authors: | Huang Yongfeng Zhang Jiuling Li Xing |
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Affiliation: | The NGN Lab of Tsinghua University, Beijing 100084, P. R. China |
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Abstract: | Problems with data security impede the widespread application of cloud computing. Although data can be protected through encryption, effective retrieval of encrypted data is difficult to achieve using traditional methods. This paper analyzes encrypted storage and retrieval technologies in cloud storage applications. A ranking method based on fully homomorphic encryption is proposed to meet demands of encrypted storage. Results show this method can improve efficiency. |
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Keywords: | cloud storage vector space model relevance ranking |
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