Friendly-jamming : An anti-eavesdropping scheme in wireless networks of things

Xuran LI, Hong Ning DAI, Hao WANG

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

5 Citations (Scopus)

Abstract

In this paper, we propose a novel anti- eavesdropping scheme by introducing friendly jammers to a wireless network of things (WNoT). In particular, we establish a theoretical framework to evaluate the eavesdropping risk of WNoT with friendly jammers and the eavesdropping risk of WNoT without jammers. Our theoretical model takes into account various channel conditions such as the path loss and Rayleigh fading as well as the placement schemes of jammers. Our extensive numerical results show that using jammers in WNoT can effectively reduce the eavesdropping risk. Besides, our results also show that the eavesdropping risk heavily depends on both the channel conditions and the placements of jammers.

Original languageEnglish
Title of host publication2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509013289
DOIs
Publication statusPublished - Dec 2016
Externally publishedYes
Event59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States
Duration: 4 Dec 20168 Dec 2016

Publication series

Name2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings

Conference

Conference59th IEEE Global Communications Conference, GLOBECOM 2016
Country/TerritoryUnited States
CityWashington
Period4/12/168/12/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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