Multi-Keyword Ranked Search over Encrypted Cloud Data with Privacy-Preservation

Abstract

The use of cloud computing became popular due to it's flexibility and economic savings. The cloud data can access anywhere from the world with the help of internet. The cloud servers consists of lots of records which is outsourced by different owners. Here security is main factor. So records must be encrypted before outsourcing them. Different encryption algorithms can be used. The cloud consists of many records, so proper searching techniques wants to be used for searching a record based on user request. The searching of record is mainly based on keywords present in the search query. The single keyword search or Boolean keyword search are two commonly used searching techniques. This paper proposed a novel searching technique for encrypted record with multi-keyword ranked search over encrypted cloud data (MRSE) with privacy preservation. This technique use ranking schemes to list most prior record first according to how many times the searching keywords present in the record. This technique use two methods first one is "coordinate matching" which means as many matches as possible and second one is "inner product similarityā€¯ to quantitatively evaluate such similarity measure in records. The experimental results shows the proposed method has low overhead on computation and communication.

Authors and Affiliations

Abhila. G. K, Chithra. A. S

Keywords

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  • EP ID EP24058
  • DOI -
  • Views 287
  • Downloads 9

How To Cite

Abhila. G. K, Chithra. A. S (2017). Multi-Keyword Ranked Search over Encrypted Cloud Data with Privacy-Preservation. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(5), -. https://europub.co.uk/articles/-A-24058