Achieving Efficient Ranked Multi keyword Search over Outsourced Cloud Data
Lekshmi Balakrishnan1, Soja Salim2
1Lekshmi Balakrishnan, Department of Computer Science, University of Kerala, SCT College of Engineering, Trivandrum (Kerala), India.
2Soja Salim, Department of Computer Science, University of Kerala, SCT College of Engineering, Trivandrum (Kerala), India.
Manuscript received on 15 August 2015 | Revised Manuscript received on 25 August 2015 | Manuscript Published on 30 August 2015 | PP: 221-225 | Volume-4 Issue-6, August 2015 | Retrieval Number: F4218084615/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the arrival of cloud computing, sensitive data are being centralized into the cloud. Data owners are allowed to store their complex data from their local systems to the public cloud. For the protection of data privacy, sensitive information is encrypted using any of the cryptographic algorithms before outsourcing it to cloud. Data owners outsource their data in encrypted form onto the cloud which makes effective data utilization based on plain text keyword search a challenging task. There are many traditional searchable encryption schemes which allow users to search over the encrypted data but most of them only support single keyword search. In this paper, multikeyword ranked searching technique is used which supports multikeyword searching. This method uses the concept of coordinate matching which captures the similarity between query and documents. This paper proposes a ranking method which uses the principle of coordinate matching and adds additional security functions to protect the data stored in the cloud. The proposed scheme introduces low overhead on computation and communication.
Keywords: Cloud Computing, Coordinate Matching, Searchable Encryption, Ranked Search.
Scope of the Article: Cloud Computing