Abstract: Multi-keyword Ranked Search Over Encrypted Cloud Data Supporting Synonym Query
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 118

Research Paper | Computer Science & Engineering | India | Volume 5 Issue 6, June 2016

Multi-keyword Ranked Search Over Encrypted Cloud Data Supporting Synonym Query

Siddheshwar S. Metkari, Dr. S. B. Sonkamble

Cloud storage becomes more and more popular in recent years due to its benefits such as scalability, availability, low cost service over traditional storage solutions. Organizations are motivated to migrate their data from local site to central commercial public cloud server. By outsourcing data on cloud users gets relief from storage maintenance. Although there are many benefits to migrate data on cloud storage it brings many security problems. Therefore the data owners hesitate to migrate the sensitive data. In this case the control of data is going towards cloud service provider. This security problem induces data owners to encrypt data at client side and outsource the data. By encrypting data improves the data security but the data efficiency is decreased because searching on encrypted data is difficult. The search techniques which are used on plain text cannot be used over encrypted data. The existing solutions supports only identical search, semantic search is not supported. In the paper we proposed semantic multi- ranked search system. To improve search efficiency this system includes semantic search by using WordNet library. Vector space model and TF-IDF model is used for index construction and query generation.

Keywords: Cloud data, TF-IDF, Searchable encryption, Multi- Search

Edition: Volume 5 Issue 6, June 2016

Pages: 2044 - 2048

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How to Cite this Article?

Siddheshwar S. Metkari, Dr. S. B. Sonkamble, "Multi-keyword Ranked Search Over Encrypted Cloud Data Supporting Synonym Query", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV164822, Volume 5 Issue 6, June 2016, 2044 - 2048

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