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...
Saved in:
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/102477 http://hdl.handle.net/10220/16394 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-102477 |
---|---|
record_format |
dspace |
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 |
_version_ |
1681057500167667712 |