A privacy-preserved full-text retrieval algorithm over encrypted data for cloud storage applications
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- 作者：Wei Songa ; b ; c ; songwei@whu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Bing Wangc ; bingwang@vt.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Qian Wangb ; qwang@whu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Zhiyong Penga ; b ; peng@whu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Wenjing Louc ; vjlou@vt.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Yihui Cuib ; cuiyihui@whu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Cloud computing ; Privacy-preserved full-text retrieval ; Hierarchical Bloom filter tree index ; Membership entropy
- 刊名：Journal of Parallel and Distributed Computing
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：99
- 期：Complete
- 页码：14-27
- 全文大小：1261 K
文摘
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We identify the problem of secure full-text retrieval over the encrypted data.
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A full-text retrieval algorithm based on the hierarchical Bloom filter tree index.
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A privacy-preserved ranking algorithm based on the membership entropy of words.
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The security and efficiency analysis of the proposed scheme.
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