Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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 Nature, 2017. стр. 74-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 10575 LNCS).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
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 Nature
T2 - 8th International Conference on Decision and Game Theory for Security, GameSec 2017
Y2 - 23 October 2017 through 25 October 2017
ER -
ID: 32726209