Game-Theoretical Analysis of PLC System Performance in the Presence of Jamming Attacks

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

Research output

Abstract

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
Pages74-90
Number of pages17
ISBN (Print)9783319687100
DOIs
Publication statusPublished - 1 Jan 2017
Event8th International Conference on Decision and Game Theory for Security, GameSec 2017 - Vienna
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
CountryAustria
CityVienna
Period23/10/1725/10/17

Fingerprint

Jamming
Communication Systems
System Performance
Theoretical Analysis
Communication systems
Attack
Game
Line
Telecommunication networks
Vertex of a graph
Communication Networks
Anchors
Nonzero-sum Games
Zero-sum
Colored Noise
Power Allocation
Communication Channels
Fading
Imperfect
Attenuation

Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ai, Y., Bhatnagar, M. R., Cheffena, M., Mathur, A., & Sedakov, A. (2017). Game-Theoretical Analysis of PLC System Performance in the Presence of Jamming Attacks. In Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings (pp. 74-90). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10575 LNCS). Springer. https://doi.org/10.1007/978-3-319-68711-7_5
Ai, Yun ; Bhatnagar, Manav R. ; Cheffena, Michael ; Mathur, Aashish ; Sedakov, Artem. / Game-Theoretical Analysis of PLC System Performance in the Presence of Jamming Attacks. Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings. Springer, 2017. pp. 74-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{85379da59aa34a61810576b097bc8c06,
title = "Game-Theoretical Analysis of PLC System Performance in the Presence of Jamming Attacks",
abstract = "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.",
keywords = "Bayesian nash equilibrium, Game theory, Jamming attack, Non-zero-sum game, Power line communication, Security, Zero-sum game",
author = "Yun Ai and Bhatnagar, {Manav R.} and Michael Cheffena and Aashish Mathur and Artem Sedakov",
year = "2017",
month = "1",
day = "1",
doi = "10.1007/978-3-319-68711-7_5",
language = "English",
isbn = "9783319687100",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "74--90",
booktitle = "Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings",
address = "Germany",

}

Ai, Y, Bhatnagar, MR, Cheffena, M, Mathur, A & Sedakov, A 2017, Game-Theoretical Analysis of PLC System Performance in the Presence of Jamming Attacks. in Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10575 LNCS, Springer, pp. 74-90, Vienna, 23/10/17. https://doi.org/10.1007/978-3-319-68711-7_5

Game-Theoretical Analysis of PLC System Performance in the Presence of Jamming Attacks. / Ai, Yun; Bhatnagar, Manav R.; Cheffena, Michael; Mathur, Aashish; Sedakov, Artem.

Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings. Springer, 2017. p. 74-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10575 LNCS).

Research output

TY - GEN

T1 - Game-Theoretical Analysis of PLC System Performance in the Presence of Jamming Attacks

AU - Ai, Yun

AU - Bhatnagar, Manav R.

AU - Cheffena, Michael

AU - Mathur, Aashish

AU - Sedakov, Artem

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

KW - Bayesian nash equilibrium

KW - Game theory

KW - Jamming attack

KW - Non-zero-sum game

KW - Power line communication

KW - Security

KW - Zero-sum game

UR - http://www.scopus.com/inward/record.url?scp=85032866972&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-68711-7_5

DO - 10.1007/978-3-319-68711-7_5

M3 - Conference contribution

AN - SCOPUS:85032866972

SN - 9783319687100

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 74

EP - 90

BT - Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings

PB - Springer

ER -

Ai Y, Bhatnagar MR, Cheffena M, Mathur A, Sedakov A. Game-Theoretical Analysis of PLC System Performance in the Presence of Jamming Attacks. In Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings. Springer. 2017. p. 74-90. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-68711-7_5