TY - GEN
T1 - A game-theoretic view on the physical layer security of cognitive radio networks
AU - Houjeij, Ali
AU - Saad, Walid
AU - Bascar, Tamer
N1 - Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - In this paper, we investigate the problem of secure communication between secondary users (SUs) and their serving base station in the presence of multiple eavesdroppers and multiple primary users. We analyze the interactions between the SUs and eavesdroppers using the framework of noncooperative game theory. To solve the formulated game, we propose a novel secure channel selection algorithm that enables the SUs and eavesdroppers to take distributed decisions so as to reach a Nash equilibrium point. We study and analyze several properties of the equilibrium resulting from the proposed algorithm. Simulation results show that the proposed approach yields significant improvements of at least 32.7%, in terms of the average secrecy rate per SU, relative to a classical spectrum sharing scheme. Moreover, the results show that the proposed scheme enables the SUs to reach Nash equilibrium with up to 86.5% less computation than standard learning algorithms.
AB - In this paper, we investigate the problem of secure communication between secondary users (SUs) and their serving base station in the presence of multiple eavesdroppers and multiple primary users. We analyze the interactions between the SUs and eavesdroppers using the framework of noncooperative game theory. To solve the formulated game, we propose a novel secure channel selection algorithm that enables the SUs and eavesdroppers to take distributed decisions so as to reach a Nash equilibrium point. We study and analyze several properties of the equilibrium resulting from the proposed algorithm. Simulation results show that the proposed approach yields significant improvements of at least 32.7%, in terms of the average secrecy rate per SU, relative to a classical spectrum sharing scheme. Moreover, the results show that the proposed scheme enables the SUs to reach Nash equilibrium with up to 86.5% less computation than standard learning algorithms.
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U2 - 10.1109/ICC.2013.6654835
DO - 10.1109/ICC.2013.6654835
M3 - Conference contribution
AN - SCOPUS:84891365081
SN - 9781467331227
T3 - IEEE International Conference on Communications
SP - 2095
EP - 2099
BT - 2013 IEEE International Conference on Communications, ICC 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 IEEE International Conference on Communications, ICC 2013
Y2 - 9 June 2013 through 13 June 2013
ER -