Friendly-Jamming: An anti-eavesdropping scheme in wireless networks

Xuran Li, Hong Ning Dai

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

5 Citations (Scopus)

Abstract

This paper proposes a novel anti-eavesdropping scheme by introducing artificial noise caused by friendly jammers deployed in wireless networks. In particular, we propose an analytical model to quantify the eavesdropping risk of wireless network with friendly jammers. Our approach considers both large-scale path loss and Rayleigh fading. Our numerical results show that the eavesdropping risk of wireless networks can be significantly reduced with the aid of firendly jammers.

Original languageEnglish
Title of host publicationProceedings of 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017
PublisherIEEE
Pages1-3
Number of pages3
ISBN (Electronic)9781538627235
ISBN (Print)9781538627242
DOIs
Publication statusPublished - 12 Jun 2017
Event18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Macau, China
Duration: 12 Jun 201715 Jun 2017
https://ieeexplore.ieee.org/xpl/conhome/7965808/proceeding

Publication series

NameProceedings of IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM

Conference

Conference18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017
Country/TerritoryChina
CityMacau
Period12/06/1715/06/17
Internet address

Scopus Subject Areas

  • Computer Networks and Communications
  • Media Technology

User-Defined Keywords

  • Anti-eavesdropping
  • Security
  • Wireless Networks

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