IEICE TRANSACTIONS on Communications
A Robust Secure Cooperative Spectrum Sensing Scheme Based on Evidence Theory and Robust Statistics in Cognitive Radio
Summary :
Spectrum sensing is a key technology within Cognitive Radio (CR) systems. Cooperative spectrum sensing using a distributed model provides improved detection for the primary user, which opens the CR system to a new security threat. This threat is the decrease of the cooperative sensing performance due to the spectrum sensing data falsification which is generated from malicious users. Our proposed scheme, based on robust statistics, utilizes only available past sensing nodes' received power data for estimating the distribution parameters of the primary signal presence and absence hypotheses. These estimated parameters are used to perform the Dempster-Shafer theory of evidence data fusion which causes the elimination of malicious users. Furthermore, in order to enhance performance, a node's reliability weight is supplemented along with the data fusion scheme. Simulation results indicate that our proposed scheme can provide a powerful capability in eliminating malicious users as well as a high gain of data fusion under various cases of channel condition.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E92-B No.12 pp.3644-3652
- Publication Date
- 2009/12/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E92.B.3644
- Type of Manuscript
- Special Section PAPER (Special Section on Dynamic Spectrum Access)
- Category
- Spectrum Sensing
Authors
Keyword
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Nhan NGUYEN-THANH, Insoo KOO, "A Robust Secure Cooperative Spectrum Sensing Scheme Based on Evidence Theory and Robust Statistics in Cognitive Radio" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 12, pp. 3644-3652, December 2009, doi: 10.1587/transcom.E92.B.3644.
Abstract: Spectrum sensing is a key technology within Cognitive Radio (CR) systems. Cooperative spectrum sensing using a distributed model provides improved detection for the primary user, which opens the CR system to a new security threat. This threat is the decrease of the cooperative sensing performance due to the spectrum sensing data falsification which is generated from malicious users. Our proposed scheme, based on robust statistics, utilizes only available past sensing nodes' received power data for estimating the distribution parameters of the primary signal presence and absence hypotheses. These estimated parameters are used to perform the Dempster-Shafer theory of evidence data fusion which causes the elimination of malicious users. Furthermore, in order to enhance performance, a node's reliability weight is supplemented along with the data fusion scheme. Simulation results indicate that our proposed scheme can provide a powerful capability in eliminating malicious users as well as a high gain of data fusion under various cases of channel condition.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.3644/_p
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@ARTICLE{e92-b_12_3644,
author={Nhan NGUYEN-THANH, Insoo KOO, },
journal={IEICE TRANSACTIONS on Communications},
title={A Robust Secure Cooperative Spectrum Sensing Scheme Based on Evidence Theory and Robust Statistics in Cognitive Radio},
year={2009},
volume={E92-B},
number={12},
pages={3644-3652},
abstract={Spectrum sensing is a key technology within Cognitive Radio (CR) systems. Cooperative spectrum sensing using a distributed model provides improved detection for the primary user, which opens the CR system to a new security threat. This threat is the decrease of the cooperative sensing performance due to the spectrum sensing data falsification which is generated from malicious users. Our proposed scheme, based on robust statistics, utilizes only available past sensing nodes' received power data for estimating the distribution parameters of the primary signal presence and absence hypotheses. These estimated parameters are used to perform the Dempster-Shafer theory of evidence data fusion which causes the elimination of malicious users. Furthermore, in order to enhance performance, a node's reliability weight is supplemented along with the data fusion scheme. Simulation results indicate that our proposed scheme can provide a powerful capability in eliminating malicious users as well as a high gain of data fusion under various cases of channel condition.},
keywords={},
doi={10.1587/transcom.E92.B.3644},
ISSN={1745-1345},
month={December},}
Copy
TY - JOUR
TI - A Robust Secure Cooperative Spectrum Sensing Scheme Based on Evidence Theory and Robust Statistics in Cognitive Radio
T2 - IEICE TRANSACTIONS on Communications
SP - 3644
EP - 3652
AU - Nhan NGUYEN-THANH
AU - Insoo KOO
PY - 2009
DO - 10.1587/transcom.E92.B.3644
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2009
AB - Spectrum sensing is a key technology within Cognitive Radio (CR) systems. Cooperative spectrum sensing using a distributed model provides improved detection for the primary user, which opens the CR system to a new security threat. This threat is the decrease of the cooperative sensing performance due to the spectrum sensing data falsification which is generated from malicious users. Our proposed scheme, based on robust statistics, utilizes only available past sensing nodes' received power data for estimating the distribution parameters of the primary signal presence and absence hypotheses. These estimated parameters are used to perform the Dempster-Shafer theory of evidence data fusion which causes the elimination of malicious users. Furthermore, in order to enhance performance, a node's reliability weight is supplemented along with the data fusion scheme. Simulation results indicate that our proposed scheme can provide a powerful capability in eliminating malicious users as well as a high gain of data fusion under various cases of channel condition.
ER -
English
