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Privacy-Preserving Data Aggregation in Two-Tiered Wireless Sensor Networks with Mobile Nodes
Privacy-preserving data aggregation in wireless sensor networks (WSNs) with mobile nodes is a challenging problem, as an accurate aggregation result should be derived in a privacy-preserving manner, under the condition that nodes are mobile and have no pre-specified keys for cryptographic operations...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279529/ https://www.ncbi.nlm.nih.gov/pubmed/25390407 http://dx.doi.org/10.3390/s141121174 |
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author | Yao, Yonglei Liu, Jingfa Xiong, Neal N. |
author_facet | Yao, Yonglei Liu, Jingfa Xiong, Neal N. |
author_sort | Yao, Yonglei |
collection | PubMed |
description | Privacy-preserving data aggregation in wireless sensor networks (WSNs) with mobile nodes is a challenging problem, as an accurate aggregation result should be derived in a privacy-preserving manner, under the condition that nodes are mobile and have no pre-specified keys for cryptographic operations. In this paper, we focus on the SUM aggregation function and propose two privacy-preserving data aggregation protocols for two-tiered sensor networks with mobile nodes: Privacy-preserving Data Aggregation against non-colluded Aggregator and Sink (PDAAS) and Privacy-preserving Data Aggregation against Colluded Aggregator and Sink (PDACAS). Both protocols guarantee that the sink can derive the SUM of all raw sensor data but each sensor's raw data is kept confidential. In PDAAS, two keyed values are used, one shared with the sink and the other shared with the aggregator. PDAAS can protect the privacy of sensed data against external eavesdroppers, compromised sensor nodes, the aggregator or the sink, but fails if the aggregator and the sink collude. In PDACAS, multiple keyed values are used in data perturbation, which are not shared with the aggregator or the sink. PDACAS can protect the privacy of sensor nodes even the aggregator and the sink collude, at the cost of a little more overhead than PDAAS. Thorough analysis and experiments are conducted, which confirm the efficacy and efficiency of both schemes. |
format | Online Article Text |
id | pubmed-4279529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-42795292015-01-15 Privacy-Preserving Data Aggregation in Two-Tiered Wireless Sensor Networks with Mobile Nodes Yao, Yonglei Liu, Jingfa Xiong, Neal N. Sensors (Basel) Article Privacy-preserving data aggregation in wireless sensor networks (WSNs) with mobile nodes is a challenging problem, as an accurate aggregation result should be derived in a privacy-preserving manner, under the condition that nodes are mobile and have no pre-specified keys for cryptographic operations. In this paper, we focus on the SUM aggregation function and propose two privacy-preserving data aggregation protocols for two-tiered sensor networks with mobile nodes: Privacy-preserving Data Aggregation against non-colluded Aggregator and Sink (PDAAS) and Privacy-preserving Data Aggregation against Colluded Aggregator and Sink (PDACAS). Both protocols guarantee that the sink can derive the SUM of all raw sensor data but each sensor's raw data is kept confidential. In PDAAS, two keyed values are used, one shared with the sink and the other shared with the aggregator. PDAAS can protect the privacy of sensed data against external eavesdroppers, compromised sensor nodes, the aggregator or the sink, but fails if the aggregator and the sink collude. In PDACAS, multiple keyed values are used in data perturbation, which are not shared with the aggregator or the sink. PDACAS can protect the privacy of sensor nodes even the aggregator and the sink collude, at the cost of a little more overhead than PDAAS. Thorough analysis and experiments are conducted, which confirm the efficacy and efficiency of both schemes. MDPI 2014-11-10 /pmc/articles/PMC4279529/ /pubmed/25390407 http://dx.doi.org/10.3390/s141121174 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yao, Yonglei Liu, Jingfa Xiong, Neal N. Privacy-Preserving Data Aggregation in Two-Tiered Wireless Sensor Networks with Mobile Nodes |
title | Privacy-Preserving Data Aggregation in Two-Tiered Wireless Sensor Networks with Mobile Nodes |
title_full | Privacy-Preserving Data Aggregation in Two-Tiered Wireless Sensor Networks with Mobile Nodes |
title_fullStr | Privacy-Preserving Data Aggregation in Two-Tiered Wireless Sensor Networks with Mobile Nodes |
title_full_unstemmed | Privacy-Preserving Data Aggregation in Two-Tiered Wireless Sensor Networks with Mobile Nodes |
title_short | Privacy-Preserving Data Aggregation in Two-Tiered Wireless Sensor Networks with Mobile Nodes |
title_sort | privacy-preserving data aggregation in two-tiered wireless sensor networks with mobile nodes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279529/ https://www.ncbi.nlm.nih.gov/pubmed/25390407 http://dx.doi.org/10.3390/s141121174 |
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