Implementation of Ranked Search over Encrypted Cloud Data with Supporting Synonyms |
Author(s): |
| Santhosh H , National Institute of Engineering, Mysore; V.K.Annapurna , National Institute of Engineering, Mysore |
Keywords: |
| Fuzzy, CSP |
Abstract |
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“Implementation of ranked search over encrypted cloud data with supporting synonyms†has been developed to provide a stable and efficient search services in the cloud data storage. The cloud service provider will charge the cost for the services they provide to the user so consumers want to find the most relevant product, information or data, which is highly desirable in the “pay-as-you use†cloud computing paradigm. The searchable schemes over encryption data support only exact or fuzzy keyword search. That is, there is no tolerance of synonym substitution and/or syntactic variation. And the searchable schemes support only single keyword search. To meet the challenge of effective search system over secured data , the new search schema is described which is efficient and flexible searchable scheme that supports both multi-keyword ranked search and synonym based search i.e Semantics-based multi-keyword ranked search technology over encrypted cloud data which supports synonym queries is proposed. The search results can be achieved when authorized cloud customers input the synonyms of the predefined keywords, not the exact or fuzzy matching keywords. Possible synonym substitution and/or her lack of exact knowledge about the data to the data user. Ranked search over encrypted cloud data with supporting synonym will protect the data in the cloud and retrieve the required document or page that contain search key efficiently and quickly which is very important in the pay-per-use type of cloud model, so it saves time and money. If the user doesn’t have knowledge of data in particular, he can also obtain the search result because search results can be obtained for synonym of input keywords. |
Other Details |
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Paper ID: IJSRDV3I2742 Published in: Volume : 3, Issue : 2 Publication Date: 01/05/2015 Page(s): 1218-1220 |
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