EMRQ : an efficient multi-keyword range query scheme in smart grid auction market

With the increasing electricity consumption and the wide application of renewable energy sources, energy auction attracts a lot of attention due to its economic benefits. Many schemes have been proposed to support energy auction in smart grid. However, few of them can achieve range query, ranked sea...

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Main Authors: Lu, Rongxing, Li, Hongwei, Yang, Yi, Wen, Mi, Luo, Hongwei
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/105081
http://hdl.handle.net/10220/50031
http://dx.doi.org/10.3837/tiis.2014.11.015
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1050812019-12-06T21:45:52Z EMRQ : an efficient multi-keyword range query scheme in smart grid auction market Lu, Rongxing Li, Hongwei Yang, Yi Wen, Mi Luo, Hongwei School of Electrical and Electronic Engineering Energy Auction DRNTU::Engineering::Electrical and electronic engineering Smart Grid With the increasing electricity consumption and the wide application of renewable energy sources, energy auction attracts a lot of attention due to its economic benefits. Many schemes have been proposed to support energy auction in smart grid. However, few of them can achieve range query, ranked search and personalized search. In this paper, we propose an efficient multi-keyword range query (EMRQ) scheme, which can support range query, ranked search and personalized search simultaneously. Based on the homomorphic Paillier cryptosystem, we use two super-increasing sequences to aggregate multidimensional keywords. The first one is used to aggregate one buyer’s or seller’s multidimensional keywords to an aggregated number. The second one is used to create a summary number by aggregating the aggregated numbers of all sellers. As a result, the comparison between the keywords of all sellers and those of one buyer can be achieved with only one calculation. Security analysis demonstrates that EMRQ can achieve confidentiality of keywords, authentication, data integrity and query privacy. Extensive experiments show that EMRQ is more efficient compared with the scheme in [3] in terms of computation and communication overhead. Published version 2019-09-30T02:10:55Z 2019-12-06T21:45:52Z 2019-09-30T02:10:55Z 2019-12-06T21:45:52Z 2014 Journal Article Li, H., Yang, Y., Wen, M., Luo, H., & Lu, R. (2014). EMRQ : an efficient multi-keyword range query scheme in smart grid auction market. KSII Transactions on Internet and Information Systems, 8(11), 3937-3954. doi:10.3837/tiis.2014.11.015 https://hdl.handle.net/10356/105081 http://hdl.handle.net/10220/50031 http://dx.doi.org/10.3837/tiis.2014.11.015 en KSII Transactions on Internet and Information Systems © 2014 KSII. This is an open-access article distributed under the terms of the Creative Commons Attribution License. 18 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Energy Auction
DRNTU::Engineering::Electrical and electronic engineering
Smart Grid
spellingShingle Energy Auction
DRNTU::Engineering::Electrical and electronic engineering
Smart Grid
Lu, Rongxing
Li, Hongwei
Yang, Yi
Wen, Mi
Luo, Hongwei
EMRQ : an efficient multi-keyword range query scheme in smart grid auction market
description With the increasing electricity consumption and the wide application of renewable energy sources, energy auction attracts a lot of attention due to its economic benefits. Many schemes have been proposed to support energy auction in smart grid. However, few of them can achieve range query, ranked search and personalized search. In this paper, we propose an efficient multi-keyword range query (EMRQ) scheme, which can support range query, ranked search and personalized search simultaneously. Based on the homomorphic Paillier cryptosystem, we use two super-increasing sequences to aggregate multidimensional keywords. The first one is used to aggregate one buyer’s or seller’s multidimensional keywords to an aggregated number. The second one is used to create a summary number by aggregating the aggregated numbers of all sellers. As a result, the comparison between the keywords of all sellers and those of one buyer can be achieved with only one calculation. Security analysis demonstrates that EMRQ can achieve confidentiality of keywords, authentication, data integrity and query privacy. Extensive experiments show that EMRQ is more efficient compared with the scheme in [3] in terms of computation and communication overhead.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Lu, Rongxing
Li, Hongwei
Yang, Yi
Wen, Mi
Luo, Hongwei
format Article
author Lu, Rongxing
Li, Hongwei
Yang, Yi
Wen, Mi
Luo, Hongwei
author_sort Lu, Rongxing
title EMRQ : an efficient multi-keyword range query scheme in smart grid auction market
title_short EMRQ : an efficient multi-keyword range query scheme in smart grid auction market
title_full EMRQ : an efficient multi-keyword range query scheme in smart grid auction market
title_fullStr EMRQ : an efficient multi-keyword range query scheme in smart grid auction market
title_full_unstemmed EMRQ : an efficient multi-keyword range query scheme in smart grid auction market
title_sort emrq : an efficient multi-keyword range query scheme in smart grid auction market
publishDate 2019
url https://hdl.handle.net/10356/105081
http://hdl.handle.net/10220/50031
http://dx.doi.org/10.3837/tiis.2014.11.015
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