FRORSS: Fast Result Object Retrieval using Similarity Search on Cloud

Raghavendra, S and Nithyashree, K and Geeta, C M and Buyya, Rajkumar and Venugopal, K R and Iyengar, S S and Patnaik, L M (2016) FRORSS: Fast Result Object Retrieval using Similarity Search on Cloud. In: IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), AUG 13-14, 2016, Natl Inst Technol Karnataka, Mangalore, INDIA, pp. 107-112.

PDF Pro_2016_IEEE_Int_Con_Dis_Com_VLSI_Ele_Cir_Rob_107_2016.pdf - Published Version Restricted to Registered users only Download (816kB) | Request a copy

Abstract

This paper involves a cloud computing environment in which the data owner outsources the similarity search service to a third party service provider. The user provides an example query to the server to retrieve similar data. Privacy of the outsourced data is important because they may be sensitive, valuable or confidential data. The data should be made available to the authorized client/client groups, but not to be revealed to the service provider in which the data is stored. Given this scenario, the paper presents a technique called FRORSS which has build phase, data transformation and search phase. The build phase is about uploading the data; the data transformation phase transforms the data before submitting it to the service provider for similarity queries on the transformed data; search phase involves searching similar object with respect to query object. Experiments have been carried out on real data sets which exhibits that the proposed work is capable of providing privacy and achieving accuracy at a lower value of result measure in comparision with FDH 1].

Item Type:	Conference Proceedings
Publisher:	IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Additional Information:	Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	08 Mar 2017 10:24
Last Modified:	25 Oct 2018 07:11
URI:	http://eprints.iisc.ac.in/id/eprint/56319

Actions (login required)

View Item