Enabling Fine-grained Multi-keyword Search Supporting Classified Sub-dictionaries over Encrypted Cloud Data
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Abstract
Utilizing Cloud Computing, people can store their information on remote servers and permit information access to open clients through the cloud servers. As the outsourced information are liable to contain touchy protection data, they are regularly scrambled before transferred to the cloud. This, on the other hand, altogether restrains the ease of use of outsourced information because of the trouble of seeking over the encoded information. In this paper, we address this issue by building up the fine-grained multi-watchword hunt plans over scrambled cloud information. Our unique commitments are three-fold. To begin with, we present the significance scores and inclination elements upon watchwords which empower the exact catchphrase seek and customized client experience. Second, we build up a handy and exceptionally effective multicatchphrase inquiry plan. The proposed plan can backing entangled rationale seek the blended "AND", "OR" and "NO" operations of catchphrases. Third, we further utilize the ordered sub-lexicons procedure to accomplish better proficiency on list building, trapdoor producing and question. Finally, we examine the security of the proposed plans as far as secrecy of reports, security assurance of file and trapdoor, and unlinkability of trapdoor. Through broad investigations utilizing this present reality dataset, we approve the execution of the proposed plans. Both the security examination and test results show that the proposed plans can accomplish the same security level contrasting with the current ones and better execution as far as usefulness, question multifaceted nature and effectiveness.
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