Title
Secure relay selection based on learning with negative externality in wireless networks.
Abstract
In this paper, we formulate relay selection into a Chinese restaurant game. A secure relay selection strategy is proposed for a wireless network, where multiple source nodes send messages to their destination nodes via several relay nodes, which have different processing and transmission capabilities as well as security properties. The relay selection utilizes a learning-based algorithm for the source nodes to reach their best responses in the Chinese restaurant game. In particular, the relay selection takes into account the negative externality of relay sharing among the source nodes, which learn the capabilities and security properties of relay nodes according to the current signals and the signal history. Simulation results show that this strategy improves the user utility and the overall security performance in wireless networks. In addition, the relay strategy is robust against the signal errors and deviations of some user from the desired actions.
Year
DOI
Venue
2013
10.1186/1687-6180-2013-89
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
Keywords
Field
DocType
Chinese restaurant game,Wireless network,Relay selection,Learning,Security
Relay channel,Wireless network,Computer science,Computer security,Computer network,Security properties,Artificial intelligence,Externality,Relay,Machine learning,Link Access Procedure for Frame Relay
Journal
Volume
Issue
ISSN
2013
1
1687-6180
Citations 
PageRank 
References 
3
0.36
16
Authors
6
Name
Order
Citations
PageRank
Caidan Zhao130.70
Liang Xiao290977.16
Shan Kang330.36
Guiquan Chen450.72
Yunzhou Li534536.62
Lianfen Huang613232.83