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A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack
Eavesdropping attack is one of the most serious threats in industrial crowdsensing networks. In this paper, we propose a novel anti-eavesdropping scheme by introducing friendly jammers to an industrial crowdsensing network. In particular, we establish a theoretical framework considering both the pro...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022160/ https://www.ncbi.nlm.nih.gov/pubmed/29904003 http://dx.doi.org/10.3390/s18061938 |
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author | Li, Xuran Wang, Qiu Dai, Hong-Ning Wang, Hao |
author_facet | Li, Xuran Wang, Qiu Dai, Hong-Ning Wang, Hao |
author_sort | Li, Xuran |
collection | PubMed |
description | Eavesdropping attack is one of the most serious threats in industrial crowdsensing networks. In this paper, we propose a novel anti-eavesdropping scheme by introducing friendly jammers to an industrial crowdsensing network. In particular, we establish a theoretical framework considering both the probability of eavesdropping attacks and the probability of successful transmission to evaluate the effectiveness of our scheme. Our framework takes into account various channel conditions such as path loss, Rayleigh fading, and the antenna type of friendly jammers. Our results show that using jammers in industrial crowdsensing networks can effectively reduce the eavesdropping risk while having no significant influence on legitimate communications. |
format | Online Article Text |
id | pubmed-6022160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60221602018-07-02 A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack Li, Xuran Wang, Qiu Dai, Hong-Ning Wang, Hao Sensors (Basel) Article Eavesdropping attack is one of the most serious threats in industrial crowdsensing networks. In this paper, we propose a novel anti-eavesdropping scheme by introducing friendly jammers to an industrial crowdsensing network. In particular, we establish a theoretical framework considering both the probability of eavesdropping attacks and the probability of successful transmission to evaluate the effectiveness of our scheme. Our framework takes into account various channel conditions such as path loss, Rayleigh fading, and the antenna type of friendly jammers. Our results show that using jammers in industrial crowdsensing networks can effectively reduce the eavesdropping risk while having no significant influence on legitimate communications. MDPI 2018-06-14 /pmc/articles/PMC6022160/ /pubmed/29904003 http://dx.doi.org/10.3390/s18061938 Text en © 2018 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 Li, Xuran Wang, Qiu Dai, Hong-Ning Wang, Hao A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack |
title | A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack |
title_full | A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack |
title_fullStr | A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack |
title_full_unstemmed | A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack |
title_short | A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack |
title_sort | novel friendly jamming scheme in industrial crowdsensing networks against eavesdropping attack |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022160/ https://www.ncbi.nlm.nih.gov/pubmed/29904003 http://dx.doi.org/10.3390/s18061938 |
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