Secured Multi-keyword Ranked Search over Encrypted Cloud Data

March 2017
Vol-3, Issue-2
Paper ID: 4180
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Co-ordinate matching Privacy-preserving MRSE Ranking
Abstract
To design search schemes which allow multi-keyword query and provide result similarity ranking for effective data retrieval, instead of returning undifferentiated result. To enable ranked search for effective utilization of out-sourced cloud data under the system and threat model, system design should simultaneously achieve security and performance guarantees of Multi-keyword Ranked Search, Privacy-preserving, Efficiency.“Co-ordinate matching” is an intermediate similarity measure which uses the number of query keywords appearing in the document to quantify the relevance of that document to the query. This technique treats encrypted data as documents and allows a user to securely Search through a single keyword and retrieve documents of interest. Although some recent designs have been proposed to support multi-keyword ranked search over encrypted cloud data (MRSE) search attempt to enrich the search flexibility, they are still not sufficient to provide users with acceptable result ranking functionality. To prevent the cloud server from learning additional information from the data set and the index, and to meet privacy requirements. Such as data privacy, index privacy, keyword privacy, trapdoor unlinkability, access pattern.

Author Information

# Name Institute / Affiliation
1 Reshma Bhausaheb Bhagure MET BKC IOE,Nashik
2 Vinita Kashinath Aher MET BKC IOE,Nashik
3 Archana Balu Algat MET BKC IOE,Nashik
4 Priyanka Dinkar Malode MET BKC IOE,Nashik
5 Dr. Priti S. Lahane MET's Institute of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Bhagure, Reshma Bhausaheb, Aher, Vinita Kashinath, Algat, Archana Balu, Malode, Priyanka Dinkar, & Lahane, Dr. Priti S. (2017). Secured Multi-keyword Ranked Search over Encrypted Cloud Data. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 1729-1734.
MLA Style
Bhagure, Reshma Bhausaheb, et al. "Secured Multi-keyword Ranked Search over Encrypted Cloud Data." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 1729-1734.
IEEE Style
Reshma Bhausaheb Bhagure, Vinita Kashinath Aher, Archana Balu Algat, Priyanka Dinkar Malode, and Dr. Priti S. Lahane, "Secured Multi-keyword Ranked Search over Encrypted Cloud Data," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 1729-1734, 2017.
Vancouver Style
Bhagure Reshma Bhausaheb, Aher Vinita Kashinath, Algat Archana Balu, Malode Priyanka Dinkar, Lahane Dr. Priti S.. Secured Multi-keyword Ranked Search over Encrypted Cloud Data. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):1729-1734.
Harvard Style
Bhagure, Reshma Bhausaheb, Aher, Vinita Kashinath, Algat, Archana Balu, Malode, Priyanka Dinkar, & Lahane, Dr. Priti S. (2017) 'Secured Multi-keyword Ranked Search over Encrypted Cloud Data', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 1729-1734.
Chicago Style
Bhagure, Reshma Bhausaheb, et al. "Secured Multi-keyword Ranked Search over Encrypted Cloud Data." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1729-1734.
Turabian Style
Bhagure, Reshma Bhausaheb, et al. "Secured Multi-keyword Ranked Search over Encrypted Cloud Data." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1729-1734.

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