Friendly-Jamming: An Anti-Eavesdropping Scheme in Wireless Networks of Things

Xuran Li, Hong-Ning Dai, Hao Wang

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

7 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
PublisherIEEE
Number of pages6
Edition1st
ISBN (Electronic)9781509013289
ISBN (Print)9781509013296
DOIs
Publication statusPublished - 4 Dec 2016
Event2016 IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States
Duration: 4 Dec 20168 Dec 2016
https://ieeexplore.ieee.org/xpl/conhome/7840067/proceeding (Conference proceedings)

Publication series

NameIEEE Global Communications Conference, GLOBECOM - Proceedings

Conference

Conference2016 IEEE Global Communications Conference, GLOBECOM 2016
Country/TerritoryUnited States
CityWashington
Period4/12/168/12/16
Internet address

Scopus Subject Areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

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