• Yun Ai
  • Manav R. Bhatnagar
  • Michael Cheffena
  • Aashish Mathur
  • Artem Sedakov

In this paper, we investigate the performance of power line communication (PLC) network in the presence of jamming attacks. The legitimate nodes of the PLC network try to communicate with the anchor node of the network while the jamming node attempts to degrade the system performance. The fading, attenuation and colored noise of the PLC channel with dependence on the frequency and transmission distance are taken into account. To investigate the jamming problem, we frame the adversarial interaction into a Bayesian game, where the PLC network tries to maximize the overall expected network capacity and the jammer node has the opposite goal. In the Bayesian game, both players have imperfect knowledge of their opponents. We study effects of total power available to the players on the equilibrium of the game by formulating it into zero-sum and non-zero-sum games, respectively. It is found that under some network setup, there exists a threshold power for which the actual gameplay of the legitimate nodes does not depend upon the actions of the jamming node, and vice versa. This allows us to choose the appropriate power allocation schemes given the total power and the action of the jamming node in some cases.

Original languageEnglish
Title of host publicationDecision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings
PublisherSpringer Nature
Pages74-90
Number of pages17
ISBN (Print)9783319687100
DOIs
StatePublished - 1 Jan 2017
Event8th International Conference on Decision and Game Theory for Security, GameSec 2017 - Vienna, Austria
Duration: 23 Oct 201725 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10575 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Decision and Game Theory for Security, GameSec 2017
Country/TerritoryAustria
CityVienna
Period23/10/1725/10/17

    Research areas

  • Bayesian nash equilibrium, Game theory, Jamming attack, Non-zero-sum game, Power line communication, Security, Zero-sum game

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

ID: 32726209