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IGSK: Index Generation on Split Keyword for Search over Cloud Data

Raghavendra, S and Girish, S and Geeta, CM and Buyya, Rajkurnar and Venugopal, KR and Iyengar, SS and Patnaik, LM (2016) IGSK: Index Generation on Split Keyword for Search over Cloud Data. In: International Conference on Computing and Network Communications (CoCoNet), DEC 15-19, 2015, Trivandrum, INDIA, pp. 374-380.

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Storage as a Service (Saas) of cloud computing has become an alternative option for data owners of various organizations to store their data into the cloud. Usually sensitive data is encrypted to achieve data security and then it is outsourced into cloud. Many traditional search schemes allow data user to search over encrypted cloud data through keywords and retrieve the files of interest selectively. In this paper, we propose an efficient approach for keyword search over encrypted cloud data. The main contribution of this paper involves index generation method for keywords by using split factor. The keywords are stored in wildcard based technique within the index tree that is stored securely with low storage cost. Extensive experimental results on real-time data sets shows that the proposed solution is effective as well as efficient in Index generation and storage cost.

Item Type: Conference Proceedings
Publisher: IEEE
Additional Information: Copy right of this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords: Keyword Search; Data Privacy; Searchable Encryption; Cloud Computing; Index Generation
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited: 16 Jun 2016 05:43
Last Modified: 18 Jun 2016 05:40
URI: http://eprints.iisc.ac.in/id/eprint/54026

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