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CSRQ: Communication-Efficient Secure Range Queries in Two-Tiered Sensor Networks

In recent years, we have seen many applications of secure query in two-tiered wireless sensor networks. Storage nodes are responsible for storing data from nearby sensor nodes and answering queries from Sink. It is critical to protect data security from a compromised storage node. In this paper, the...

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Detalles Bibliográficos
Autores principales: Dai, Hua, Ye, Qingqun, Yang, Geng, Xu, Jia, He, Ruiliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801635/
https://www.ncbi.nlm.nih.gov/pubmed/26907293
http://dx.doi.org/10.3390/s16020259
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author Dai, Hua
Ye, Qingqun
Yang, Geng
Xu, Jia
He, Ruiliang
author_facet Dai, Hua
Ye, Qingqun
Yang, Geng
Xu, Jia
He, Ruiliang
author_sort Dai, Hua
collection PubMed
description In recent years, we have seen many applications of secure query in two-tiered wireless sensor networks. Storage nodes are responsible for storing data from nearby sensor nodes and answering queries from Sink. It is critical to protect data security from a compromised storage node. In this paper, the Communication-efficient Secure Range Query (CSRQ)—a privacy and integrity preserving range query protocol—is proposed to prevent attackers from gaining information of both data collected by sensor nodes and queries issued by Sink. To preserve privacy and integrity, in addition to employing the encoding mechanisms, a novel data structure called encrypted constraint chain is proposed, which embeds the information of integrity verification. Sink can use this encrypted constraint chain to verify the query result. The performance evaluation shows that CSRQ has lower communication cost than the current range query protocols.
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spelling pubmed-48016352016-03-25 CSRQ: Communication-Efficient Secure Range Queries in Two-Tiered Sensor Networks Dai, Hua Ye, Qingqun Yang, Geng Xu, Jia He, Ruiliang Sensors (Basel) Article In recent years, we have seen many applications of secure query in two-tiered wireless sensor networks. Storage nodes are responsible for storing data from nearby sensor nodes and answering queries from Sink. It is critical to protect data security from a compromised storage node. In this paper, the Communication-efficient Secure Range Query (CSRQ)—a privacy and integrity preserving range query protocol—is proposed to prevent attackers from gaining information of both data collected by sensor nodes and queries issued by Sink. To preserve privacy and integrity, in addition to employing the encoding mechanisms, a novel data structure called encrypted constraint chain is proposed, which embeds the information of integrity verification. Sink can use this encrypted constraint chain to verify the query result. The performance evaluation shows that CSRQ has lower communication cost than the current range query protocols. MDPI 2016-02-20 /pmc/articles/PMC4801635/ /pubmed/26907293 http://dx.doi.org/10.3390/s16020259 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dai, Hua
Ye, Qingqun
Yang, Geng
Xu, Jia
He, Ruiliang
CSRQ: Communication-Efficient Secure Range Queries in Two-Tiered Sensor Networks
title CSRQ: Communication-Efficient Secure Range Queries in Two-Tiered Sensor Networks
title_full CSRQ: Communication-Efficient Secure Range Queries in Two-Tiered Sensor Networks
title_fullStr CSRQ: Communication-Efficient Secure Range Queries in Two-Tiered Sensor Networks
title_full_unstemmed CSRQ: Communication-Efficient Secure Range Queries in Two-Tiered Sensor Networks
title_short CSRQ: Communication-Efficient Secure Range Queries in Two-Tiered Sensor Networks
title_sort csrq: communication-efficient secure range queries in two-tiered sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801635/
https://www.ncbi.nlm.nih.gov/pubmed/26907293
http://dx.doi.org/10.3390/s16020259
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