A Secure Cooperative Spectrum Sensing Scheme in Mobile Cognitive Radio Networks
The reliability of cooperative spectrum sensing (CSS) can be severely degraded by the falsified spectrum sensing reports provided by malicious secondary users (SUs). However, in existing works, the problem of secure CSS in mobile cognitive radio networks (CRNs) has not been well considered yet. The...
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| Format: | Article |
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Wiley
2014-06-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/620196 |
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| author | Jun Du Daoxing Guo Bangning Zhang Ligang Shang |
| author_facet | Jun Du Daoxing Guo Bangning Zhang Ligang Shang |
| author_sort | Jun Du |
| collection | DOAJ |
| description | The reliability of cooperative spectrum sensing (CSS) can be severely degraded by the falsified spectrum sensing reports provided by malicious secondary users (SUs). However, in existing works, the problem of secure CSS in mobile cognitive radio networks (CRNs) has not been well considered yet. The detection of abnormal sensing reports in existing works does not evaluate both sensing reports and locations of SUs simultaneously. And the mobility pattern of all SUs is assumed to be similar, which is impractical in real mobile CRNs. In this paper, spatial correlation of the received signal strength among SUs is exploited to get the evidence whether the received signal strength is consistent with the location from where it is generated. And Dempster-Shafer theory is used to filter out abnormal reports by combining the evidence collected from the spatial correlation algorithm in each sensing period. To mitigate the adverse effects caused by the SUs’ mobility pattern, a fusion scheme based on SUs’ reputation is proposed. In comparison to the existing schemes, simulation results demonstrate that the proposed secure CSS scheme improves the primary user detection rate by 10% at false alarm rate of 0.1 when the mobility pattern of the SUs is different. |
| format | Article |
| id | doaj-art-883592e9a49245b6a72cf4631798efcd |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-883592e9a49245b6a72cf4631798efcd2025-02-03T06:43:16ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-06-011010.1155/2014/620196620196A Secure Cooperative Spectrum Sensing Scheme in Mobile Cognitive Radio NetworksJun Du0Daoxing Guo1Bangning Zhang2Ligang Shang3 College of Communications Engineering, PLA University of Science & Technology, Nanjing, Jiangsu 210007, China College of Communications Engineering, PLA University of Science & Technology, Nanjing, Jiangsu 210007, China College of Communications Engineering, PLA University of Science & Technology, Nanjing, Jiangsu 210007, China Units 72959 PLA, Jinan, Shandong 250031, ChinaThe reliability of cooperative spectrum sensing (CSS) can be severely degraded by the falsified spectrum sensing reports provided by malicious secondary users (SUs). However, in existing works, the problem of secure CSS in mobile cognitive radio networks (CRNs) has not been well considered yet. The detection of abnormal sensing reports in existing works does not evaluate both sensing reports and locations of SUs simultaneously. And the mobility pattern of all SUs is assumed to be similar, which is impractical in real mobile CRNs. In this paper, spatial correlation of the received signal strength among SUs is exploited to get the evidence whether the received signal strength is consistent with the location from where it is generated. And Dempster-Shafer theory is used to filter out abnormal reports by combining the evidence collected from the spatial correlation algorithm in each sensing period. To mitigate the adverse effects caused by the SUs’ mobility pattern, a fusion scheme based on SUs’ reputation is proposed. In comparison to the existing schemes, simulation results demonstrate that the proposed secure CSS scheme improves the primary user detection rate by 10% at false alarm rate of 0.1 when the mobility pattern of the SUs is different.https://doi.org/10.1155/2014/620196 |
| spellingShingle | Jun Du Daoxing Guo Bangning Zhang Ligang Shang A Secure Cooperative Spectrum Sensing Scheme in Mobile Cognitive Radio Networks International Journal of Distributed Sensor Networks |
| title | A Secure Cooperative Spectrum Sensing Scheme in Mobile Cognitive Radio Networks |
| title_full | A Secure Cooperative Spectrum Sensing Scheme in Mobile Cognitive Radio Networks |
| title_fullStr | A Secure Cooperative Spectrum Sensing Scheme in Mobile Cognitive Radio Networks |
| title_full_unstemmed | A Secure Cooperative Spectrum Sensing Scheme in Mobile Cognitive Radio Networks |
| title_short | A Secure Cooperative Spectrum Sensing Scheme in Mobile Cognitive Radio Networks |
| title_sort | secure cooperative spectrum sensing scheme in mobile cognitive radio networks |
| url | https://doi.org/10.1155/2014/620196 |
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