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International Journal for Research Trends and Innovation
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Volume 4 | Issue 9

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Paper Title: Secure Ranked Multi-Keyword Search Over Encrypted Cloud Data Using Synonym Queries
Authors Name: R. Vignesh , J. DannyAnurisha , S. Preethi , A. Arun
Unique Id: IJRTI1704006
Published In: Volume 2 Issue 4, April-2017
Abstract: Consumer-centric cloud computing phenomenon has been emerging as the development of Smart electronic devices combined with the emerging cloud computing technologies in current years. Different cloud services are provided to the consumer for effective and efficient cloud search service. The consumers rely on most relevant products or data, which is highly desirable in the “pay-as-you use” cloud computing model. As sensitive data (such as photo albums, emails, personal health records, financial records, etc.) are encrypted before outsourcing to cloud, traditional keyword search techniques are useless. Meanwhile, existing search approaches support only exact or fuzzy keyword search, but no semantics-based multi-keyword ranked search. Therefore this paper put forward an effective approach to solve the problem of multi-keyword ranked search over encrypted cloud data supporting synonym queries. The main contribution of this paper is summarized in two aspects: multi-keyword ranked search to achieve more precise search results and synonym-based search to support equivalent queries. The proposed solution is very effective and efficient for multi keyword ranked searching in a cloud environment.
Keywords: Multikeyword ranked search, Synonym queries, Fuzzy keyword search, CSP-Cloud Service Provider.
Cite Article: "Secure Ranked Multi-Keyword Search Over Encrypted Cloud Data Using Synonym Queries", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.2, Issue 4, page no.18 - 20, April-2017, Available :
Downloads: 000963
Publication Details: Published Paper ID: IJRTI1704006
Registration ID:170081
Published In: Volume 2 Issue 4, April-2017
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
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