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An Efficient Location Verification Scheme for Static Wireless Sensor Networks
In wireless sensor networks (WSNs), the accuracy of location information is vital to support many interesting applications. Unfortunately, sensors have difficulty in estimating their location when malicious sensors attack the location estimation process. Even though secure localization schemes have...
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/PMC5336052/ https://www.ncbi.nlm.nih.gov/pubmed/28125007 http://dx.doi.org/10.3390/s17020225 |
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author | Kim, In-hwan Kim, Bo-sung Song, JooSeok |
author_facet | Kim, In-hwan Kim, Bo-sung Song, JooSeok |
author_sort | Kim, In-hwan |
collection | PubMed |
description | In wireless sensor networks (WSNs), the accuracy of location information is vital to support many interesting applications. Unfortunately, sensors have difficulty in estimating their location when malicious sensors attack the location estimation process. Even though secure localization schemes have been proposed to protect location estimation process from attacks, they are not enough to eliminate the wrong location estimations in some situations. The location verification can be the solution to the situations or be the second-line defense. The problem of most of the location verifications is the explicit involvement of many sensors in the verification process and requirements, such as special hardware, a dedicated verifier and the trusted third party, which causes more communication and computation overhead. In this paper, we propose an efficient location verification scheme for static WSN called mutually-shared region-based location verification (MSRLV), which reduces those overheads by utilizing the implicit involvement of sensors and eliminating several requirements. In order to achieve this, we use the mutually-shared region between location claimant and verifier for the location verification. The analysis shows that MSRLV reduces communication overhead by 77% and computation overhead by 92% on average, when compared with the other location verification schemes, in a single sensor verification. In addition, simulation results for the verification of the whole network show that MSRLV can detect the malicious sensors by over 90% when sensors in the network have five or more neighbors. |
format | Online Article Text |
id | pubmed-5336052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53360522017-03-16 An Efficient Location Verification Scheme for Static Wireless Sensor Networks Kim, In-hwan Kim, Bo-sung Song, JooSeok Sensors (Basel) Article In wireless sensor networks (WSNs), the accuracy of location information is vital to support many interesting applications. Unfortunately, sensors have difficulty in estimating their location when malicious sensors attack the location estimation process. Even though secure localization schemes have been proposed to protect location estimation process from attacks, they are not enough to eliminate the wrong location estimations in some situations. The location verification can be the solution to the situations or be the second-line defense. The problem of most of the location verifications is the explicit involvement of many sensors in the verification process and requirements, such as special hardware, a dedicated verifier and the trusted third party, which causes more communication and computation overhead. In this paper, we propose an efficient location verification scheme for static WSN called mutually-shared region-based location verification (MSRLV), which reduces those overheads by utilizing the implicit involvement of sensors and eliminating several requirements. In order to achieve this, we use the mutually-shared region between location claimant and verifier for the location verification. The analysis shows that MSRLV reduces communication overhead by 77% and computation overhead by 92% on average, when compared with the other location verification schemes, in a single sensor verification. In addition, simulation results for the verification of the whole network show that MSRLV can detect the malicious sensors by over 90% when sensors in the network have five or more neighbors. MDPI 2017-01-24 /pmc/articles/PMC5336052/ /pubmed/28125007 http://dx.doi.org/10.3390/s17020225 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 Kim, In-hwan Kim, Bo-sung Song, JooSeok An Efficient Location Verification Scheme for Static Wireless Sensor Networks |
title | An Efficient Location Verification Scheme for Static Wireless Sensor Networks |
title_full | An Efficient Location Verification Scheme for Static Wireless Sensor Networks |
title_fullStr | An Efficient Location Verification Scheme for Static Wireless Sensor Networks |
title_full_unstemmed | An Efficient Location Verification Scheme for Static Wireless Sensor Networks |
title_short | An Efficient Location Verification Scheme for Static Wireless Sensor Networks |
title_sort | efficient location verification scheme for static wireless sensor networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336052/ https://www.ncbi.nlm.nih.gov/pubmed/28125007 http://dx.doi.org/10.3390/s17020225 |
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