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

Faculty of Information Technology, Macau University of Science and Technology, Macau SAR, China
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.
Sensors 2018, 18(6), 1938;
Received: 10 May 2018 / Revised: 8 June 2018 / Accepted: 11 June 2018 / Published: 14 June 2018
PDF [592 KB, uploaded 14 June 2018]


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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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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