Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102477
Title: Defeating primary user emulation attacks using belief propagation in cognitive radio networks
Authors: Yuan, Zhou
Niyato, Dusit
Li, Husheng
Song, Ju Bin
Han, Zhu
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Yuan, Z., Niyato, D., Li, H., Song, J. B., & Han, Z. (2012). Defeating primary user emulation attacks using belief propagation in cognitive radio networks. IEEE journal on selected areas in communications, 30(10), 1850-1860.
Series/Report no.: IEEE journal on selected areas in communications
Abstract: Cognitive radio (CR) is a promising technology for future wireless spectrum allocation to improve the usage of the licensed bands. However, CR wireless networks are susceptible to various attacks and cannot offer efficient security. Primary user emulation (PUE) is one of the most serious attacks for CR networks, which can significantly increase the spectrum access failure probability. In this paper, we propose a defense strategy against the PUE attack in CR networks using belief propagation, which avoids the deployment of additional sensor networks and expensive hardware in the networks used in the existing literatures. In our proposed approach, each secondary user calculates the local function and the compatibility function, computes the messages, exchanges messages with the neighboring users, and calculates the beliefs until convergence. Then, the PUE attacker will be detected, and all the secondary users in the network will be notified in a broadcast way about the characteristics of the attacker's signal. Therefore, all SUs can avoid the PUE attacker's primary emulation signal in the future. Simulation results show that our proposed approach converges quickly, and is effective to detect the PUE attacker.
URI: https://hdl.handle.net/10356/102477
http://hdl.handle.net/10220/16394
DOI: 10.1109/JSAC.2012.121102
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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