Strategic Antieavesdropping Game for Physical Layer Security in Wireless Cooperative Networks

Kun Wang, Li Yuan, Toshiaki Miyazaki, Deze Zeng, Song Guo, Yanfei Sun

Research output: Journal article publicationJournal articleAcademic researchpeer-review

24 Citations (Scopus)

Abstract

This paper deals with the secure communication issues of wireless cooperative networks in the presence of multiple friendly but selfish intermediate nodes. On account of the broadcast nature of wireless communications, it is assailable to malicious eavesdropping. To tackle this challenge in the paper, we present a relay and jammer selection strategy that selects the jammer and relay nodes from intermediate nodes to improve the security of the eavesdropping attacks. The jammer is used to broadcast artificial interference noise on the eavesdropper. The relay acts as a traditional relay that retransmits source signal from the source to the intended destination. For achieving the maximum secrecy capacity by the selected nodes, we introduce a power allocation approach of intermediate nodes that is formulated as a Bertrand game based on price competition. We prove that an optimal pricing scheme can maximize the secrecy capacity and achieve the optimal profits for the selfish friendly nodes. Then, a new particle swarm with simulated anneal optimization algorithm is employed to obtain the solution of pricing and node selection. Finally, the simulation results verify our theoretical analysis.

Original languageEnglish
Article number7924225
Pages (from-to)9448-9457
Number of pages10
JournalIEEE Transactions on Vehicular Technology
Volume66
Issue number10
DOIs
Publication statusPublished - Oct 2017

Keywords

  • Anti-eavesdropping
  • Bertrand game
  • jammer and relay selection
  • physical layer security
  • selfish intermediate nodes
  • wireless cooperative networks

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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