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Authenticating Ranked Keyword Search and Supporting Score Dynamics


Affiliations
1 Sastra University, Thanjavur, India
2 Periyar Maniammai University, Thanjavur, India
     

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Cloud computing enables the user to remotely store their data over cloud. It economically enables the paradigm of data service outsourcing. For protecting data privacy sensitive cloud data have to be encrypted before outsourced into cloud. Traditionally, Boolean search technique is used for file retrieval. But it is not sufficient to meet effective data utilization. The problem of efficient ranked keyword search over encrypted cloud solved. The ranked search is done by Ranked searchable symmetric encryption scheme (RSSE). We explore the relevance score approach to build a searchable index which is used for easily identifying user interested keyword. We investigate, score dynamics when the content of the file be changed.

Keywords

Ranked Search, Searchable Encryption, Order-Preserving Mapping, Confidential Data, Cloud Computing.
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  • Authenticating Ranked Keyword Search and Supporting Score Dynamics

Abstract Views: 126  |  PDF Views: 2

Authors

S. P. Ramya
Sastra University, Thanjavur, India
G. Alaiyarasi
Periyar Maniammai University, Thanjavur, India

Abstract


Cloud computing enables the user to remotely store their data over cloud. It economically enables the paradigm of data service outsourcing. For protecting data privacy sensitive cloud data have to be encrypted before outsourced into cloud. Traditionally, Boolean search technique is used for file retrieval. But it is not sufficient to meet effective data utilization. The problem of efficient ranked keyword search over encrypted cloud solved. The ranked search is done by Ranked searchable symmetric encryption scheme (RSSE). We explore the relevance score approach to build a searchable index which is used for easily identifying user interested keyword. We investigate, score dynamics when the content of the file be changed.

Keywords


Ranked Search, Searchable Encryption, Order-Preserving Mapping, Confidential Data, Cloud Computing.