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Strategic Antieavesdropping Game for Physical Layer Security in Wireless Cooperative Networks
- Source :
- IEEE Transactions on Vehicular Technology. 66:9448-9457
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
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.
- Subjects :
- Computer Science::Computer Science and Game Theory
Engineering
Computer Networks and Communications
0211 other engineering and technologies
Aerospace Engineering
02 engineering and technology
law.invention
Secure communication
Relay
law
Secrecy
Node (computer science)
Computer Science::Networking and Internet Architecture
0202 electrical engineering, electronic engineering, information engineering
Wireless
Electrical and Electronic Engineering
Computer Science::Cryptography and Security
Computer Science::Information Theory
021110 strategic, defence & security studies
business.industry
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Physical layer
Particle swarm optimization
020206 networking & telecommunications
Eavesdropping
Automotive Engineering
business
Computer network
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 66
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi...........46ff70cdbf056455f03a99d3ef7b68ac