DOI

  • 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.

Язык оригиналаанглийский
Название основной публикацииDecision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings
ИздательSpringer Nature
Страницы74-90
Число страниц17
ISBN (печатное издание)9783319687100
DOI
СостояниеОпубликовано - 1 янв 2017
Событие8th International Conference on Decision and Game Theory for Security, GameSec 2017 - Vienna, Австрия
Продолжительность: 23 окт 201725 окт 2017

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том10575 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция8th International Conference on Decision and Game Theory for Security, GameSec 2017
Страна/TерриторияАвстрия
ГородVienna
Период23/10/1725/10/17

    Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

ID: 32726209