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All-Direction Random Routing for Source-Location Privacy Protecting against Parasitic Sensor Networks
Wireless sensor networks are deployed to monitor the surrounding physical environments and they also act as the physical environments of parasitic sensor networks, whose purpose is analyzing the contextual privacy and obtaining valuable information from the original wireless sensor networks. Recentl...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375900/ https://www.ncbi.nlm.nih.gov/pubmed/28304367 http://dx.doi.org/10.3390/s17030614 |
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author | Wang, Na Zeng, Jiwen |
author_facet | Wang, Na Zeng, Jiwen |
author_sort | Wang, Na |
collection | PubMed |
description | Wireless sensor networks are deployed to monitor the surrounding physical environments and they also act as the physical environments of parasitic sensor networks, whose purpose is analyzing the contextual privacy and obtaining valuable information from the original wireless sensor networks. Recently, contextual privacy issues associated with wireless communication in open spaces have not been thoroughly addressed and one of the most important challenges is protecting the source locations of the valuable packages. In this paper, we design an all-direction random routing algorithm (ARR) for source-location protecting against parasitic sensor networks. For each package, the routing process of ARR is divided into three stages, i.e., selecting a proper agent node, delivering the package to the agent node from the source node, and sending it to the final destination from the agent node. In ARR, the agent nodes are randomly chosen in all directions by the source nodes using only local decisions, rather than knowing the whole topology of the networks. ARR can control the distributions of the routing paths in a very flexible way and it can guarantee that the routing paths with the same source and destination are totally different from each other. Therefore, it is extremely difficult for the parasitic sensor nodes to trace the packages back to the source nodes. Simulation results illustrate that ARR perfectly confuses the parasitic nodes and obviously outperforms traditional routing-based schemes in protecting source-location privacy, with a marginal increase in the communication overhead and energy consumption. In addition, ARR also requires much less energy than the cloud-based source-location privacy protection schemes. |
format | Online Article Text |
id | pubmed-5375900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53759002017-04-10 All-Direction Random Routing for Source-Location Privacy Protecting against Parasitic Sensor Networks Wang, Na Zeng, Jiwen Sensors (Basel) Article Wireless sensor networks are deployed to monitor the surrounding physical environments and they also act as the physical environments of parasitic sensor networks, whose purpose is analyzing the contextual privacy and obtaining valuable information from the original wireless sensor networks. Recently, contextual privacy issues associated with wireless communication in open spaces have not been thoroughly addressed and one of the most important challenges is protecting the source locations of the valuable packages. In this paper, we design an all-direction random routing algorithm (ARR) for source-location protecting against parasitic sensor networks. For each package, the routing process of ARR is divided into three stages, i.e., selecting a proper agent node, delivering the package to the agent node from the source node, and sending it to the final destination from the agent node. In ARR, the agent nodes are randomly chosen in all directions by the source nodes using only local decisions, rather than knowing the whole topology of the networks. ARR can control the distributions of the routing paths in a very flexible way and it can guarantee that the routing paths with the same source and destination are totally different from each other. Therefore, it is extremely difficult for the parasitic sensor nodes to trace the packages back to the source nodes. Simulation results illustrate that ARR perfectly confuses the parasitic nodes and obviously outperforms traditional routing-based schemes in protecting source-location privacy, with a marginal increase in the communication overhead and energy consumption. In addition, ARR also requires much less energy than the cloud-based source-location privacy protection schemes. MDPI 2017-03-17 /pmc/articles/PMC5375900/ /pubmed/28304367 http://dx.doi.org/10.3390/s17030614 Text en © 2017 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Na Zeng, Jiwen All-Direction Random Routing for Source-Location Privacy Protecting against Parasitic Sensor Networks |
title | All-Direction Random Routing for Source-Location Privacy Protecting against Parasitic Sensor Networks |
title_full | All-Direction Random Routing for Source-Location Privacy Protecting against Parasitic Sensor Networks |
title_fullStr | All-Direction Random Routing for Source-Location Privacy Protecting against Parasitic Sensor Networks |
title_full_unstemmed | All-Direction Random Routing for Source-Location Privacy Protecting against Parasitic Sensor Networks |
title_short | All-Direction Random Routing for Source-Location Privacy Protecting against Parasitic Sensor Networks |
title_sort | all-direction random routing for source-location privacy protecting against parasitic sensor networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375900/ https://www.ncbi.nlm.nih.gov/pubmed/28304367 http://dx.doi.org/10.3390/s17030614 |
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