Defeating primary user emulation attacks using belief propagation in cognitive radio networks

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...

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Main Authors: Yuan, Zhou, Niyato, Dusit, Li, Husheng, Song, Ju Bin, Han, Zhu
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/102477
http://hdl.handle.net/10220/16394
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1024772020-05-28T07:17:28Z Defeating primary user emulation attacks using belief propagation in cognitive radio networks Yuan, Zhou Niyato, Dusit Li, Husheng Song, Ju Bin Han, Zhu School of Computer Engineering DRNTU::Engineering::Computer science and engineering 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. 2013-10-10T06:16:48Z 2019-12-06T20:55:33Z 2013-10-10T06:16:48Z 2019-12-06T20:55:33Z 2012 2012 Journal Article 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. https://hdl.handle.net/10356/102477 http://hdl.handle.net/10220/16394 10.1109/JSAC.2012.121102 en IEEE journal on selected areas in communications
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Yuan, Zhou
Niyato, Dusit
Li, Husheng
Song, Ju Bin
Han, Zhu
Defeating primary user emulation attacks using belief propagation in cognitive radio networks
description 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.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Yuan, Zhou
Niyato, Dusit
Li, Husheng
Song, Ju Bin
Han, Zhu
format Article
author Yuan, Zhou
Niyato, Dusit
Li, Husheng
Song, Ju Bin
Han, Zhu
author_sort Yuan, Zhou
title Defeating primary user emulation attacks using belief propagation in cognitive radio networks
title_short Defeating primary user emulation attacks using belief propagation in cognitive radio networks
title_full Defeating primary user emulation attacks using belief propagation in cognitive radio networks
title_fullStr Defeating primary user emulation attacks using belief propagation in cognitive radio networks
title_full_unstemmed Defeating primary user emulation attacks using belief propagation in cognitive radio networks
title_sort defeating primary user emulation attacks using belief propagation in cognitive radio networks
publishDate 2013
url https://hdl.handle.net/10356/102477
http://hdl.handle.net/10220/16394
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