Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74920
Title: Strategic antieavesdropping game for physical layer security in wireless cooperative networks
Authors: Wang, K
Yuan, L
Miyazaki, T
Zeng, D
Guo, S 
Sun, Y
Keywords: Anti-eavesdropping
Bertrand game
Jammer and relay selection
Physical layer security
Selfish intermediate nodes
Wireless cooperative networks
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: IEEE transactions on vehicular technology, 2017, v. 66, no. 10, 7924225, p. 9448-9457 How to cite?
Journal: IEEE transactions on vehicular technology 
Abstract: This paper deals with the secure communication issues of wireless cooperative networks in the presence of multiple friendly but selfish intermediate nodes. On account of the broadcast nature of wireless communications, it is assailable to malicious eavesdropping. To tackle this challenge in the paper, we present a relay and jammer selection strategy that selects the jammer and relay nodes from intermediate nodes to improve the security of the eavesdropping attacks. The jammer is used to broadcast artificial interference noise on the eavesdropper. The relay acts as a traditional relay that retransmits source signal from the source to the intended destination. For achieving the maximum secrecy capacity by the selected nodes, we introduce a power allocation approach of intermediate nodes that is formulated as a Bertrand game based on price competition. We prove that an optimal pricing scheme can maximize the secrecy capacity and achieve the optimal profits for the selfish friendly nodes. Then, a new particle swarm with simulated anneal optimization algorithm is employed to obtain the solution of pricing and node selection. Finally, the simulation results verify our theoretical analysis.
URI: http://hdl.handle.net/10397/74920
ISSN: 0018-9545
EISSN: 1939-9359
DOI: 10.1109/TVT.2017.2703305
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