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Sensors 2018, 18(6), 1938; https://doi.org/10.3390/s18061938

A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack

1
Faculty of Information Technology, Macau University of Science and Technology, Macau SAR, China
2
Department of ICT and Natural Sciences, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Postboks 1517, NO-6025 Aalesund, Norway
*
Authors to whom correspondence should be addressed.
Received: 10 May 2018 / Revised: 8 June 2018 / Accepted: 11 June 2018 / Published: 14 June 2018
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Abstract

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. View Full-Text
Keywords: friendly jamming; crowdsensing; industrial internet of things; security friendly jamming; crowdsensing; industrial internet of things; security
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Li, X.; Wang, Q.; Dai, H.-N.; Wang, H. A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack. Sensors 2018, 18, 1938.

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