Enhanced Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data

Pourush null · American Journal of Networks and Communications · 2015

To protect the privacy, sensitive information has to be encrypted before outsourcing to the cloud. Thus the effective data uct keyword search. Related works on searchable encryption emphasis on single keyword based search or Boolean keyword based search, and hardly work on sorting the search results. Our work focuses on realizing secure semantic search through query keyword semantic extension. We mix-ups and used architecture of two clouds, explicitly private cloud and public cloud. The search process is distributed into two steps. The leading step develops the question keyword upon warehoused database in the private cloud. The subsequent step uses the drawn-out query keywords set to recover the index on public cloud. Finally the matched files are resumed in order. Complete security analysis shows that our explanation is privacy-preserving and secure. Trial evaluation determines the efficiency and effectiveness of the scheme.

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