Reputation Model for Distributed Collaborate Spectrum Sensing

doi:10.13190/j.jbupt.2015.04.012

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2015, Vol. 38 ›› Issue (4): 55-59.doi: 10.13190/j.jbupt.2015.04.012

• Papers • Previous Articles Next Articles

Reputation Model for Distributed Collaborate Spectrum Sensing

XU Li, HUANG Yi-jie, LIN Hui

1. School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350117, China;
2. Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350117, China

Received:2014-08-09 Online:2015-08-28 Published:2015-06-26

Abstract

Abstract:

Collaborative spectrum sensing can greatly improve the effect of the spectrum sensing in cognitive radio network. However, it also brings some security risks such as spectrum sensing data falsification (SSDF) attack. To against the successional and discontinuous SSDF attacks launched by the single malicious secondary user and some malicious secondary users, respectively, a reputation model for distributed collaborate spectrum sensing was proposed. Simulation shows that the proposed model can effectively identify the malicious secondary users and resist the SSDF attack. Moreover, it also has lower probability of false alarm detection, lower probability of loss detection, and better fault-tolerant ability.

Key words: cognitive radio network, distributed collaborative, spectrum sensing, spectrum sensing data falsification, reputation model

CLC Number:

TN929.53

XU Li, HUANG Yi-jie, LIN Hui. Reputation Model for Distributed Collaborate Spectrum Sensing[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(4): 55-59.

References

[1] Mitola J, Maguire J G Q. Cognitive radio: making software radios more personal[J]. Personal Communications, IEEE, 1999, 6(4): 13-18.

[2] 周小飞, 张宏纲. 认知无线电原理及应用[M]. 北京: 北京邮电大学出版社, 2007.

[3] 申滨, 王舒, 黄琼, 等. 认知无线电最优用户选择协作频谱感知[J]. 北京邮电大学学报, 2014, 37(2): 32-37. Shen Bin, Wang Shu, Huang Qiong, et al. Cognitive radio users to choose the optimal cooperative spectrum sensing[J]. Journal of Beijing University of Posts and Telecommunications, 2014, 37(2): 32-37.

[4] Feng Jingyu, Zhang Yuqing, Lu Guangyue, et al. Defend against collusive SSDF attack using trust in cooperative spectrum sensing environment[C] //Trust, Security and Privacy in Computing and Communications (TrustCom), 2013 12th IEEE International Conference on. IEEE Computer Society, 2013: 1656-1661.

[5] Attar A, Tang Helen, Vasilakos A V, et al. A survey of security challenges in cognitive radio networks: solutions and future research directions[J]. Proceedings of the IEEE, 2012, 100(12): 3172-3186.

[6] Abdelhakim M, Lightfoot L E, Ren Jian, et al. Distributed detection in mobile access wireless sensor networks under byzantine attacks[J]. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(4): 950-959.

[7] Fragkiadakis A G, Tragos E Z, Askoxylakis I G. A survey on security threats and detection techniques in cognitive radio networks[J]. Communications Surveys and Tutorials, IEEE, 2013(1): 428-445.

[8] Lu Jianqi, Wei Ping, Chen Zhe. A scheme to counter SSDF attacks based on hard decision in cognitive radio networks[J]. Wseas Transactions on Communications, 2014, 13(1): 242-248.

[9] Lin Hui, Hu Jia, Ma Jianfeng, et al. A role based privacy-aware secure routing protocol for wireless mesh networks[J]. Wireless Personal Communications, 2014, 75(3): 1611-1633.

[10] Parvin S, Hussain F K, Hussain O K. Conjoint trust assessment for secure communication in cognitive radio networks[J]. Mathematical and Computer Modelling, 2013, 58(5): 1340-1350.

[11] Letaief K, Zhang Wei. Cooperative communications for cognitive radio networks[J]. Proceedings of the IEEE, 2009, 97(5): 878-893.

[1]	CHU Guang-qian, NIU Kai, WU Wei-ling, YANG Fang-liao. Two Step Cooperative Spectrum Sensing Scheme over Fading Channels for Cognitive Radio [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(6): 92-97.
[2]	LI Mei-ling, HE Wen-li, DONG Zeng-shou, LU Zhao-ming. Sensor-Based Cooperative Spectrum Sensing with Multiple Antennas over Composite Fading Channels [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(4): 29-34.
[3]	WU Run-ze, GAO Li-yuan, TANG Liang-rui, ZHU Jia-jia. Optimal Spectrum Allocation of Cognitive Wireless Network under Underlay Mode [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(1): 105-110.
[4]	SHEN Bin, YU Jun, HUANG Qiong, CHEN Qian-bin. EEF Criterion Based Wideband Spectrum Sensing Used in Cognitive Radio [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(6): 115-119.
[5]	JIN Shun-fu, LI Gang, HUO Zhan-qiang. Performance Optimization of Spectrum Aggregation Strategy in Cognitive Radio Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(6): 77-80.
[6]	SHEN Bin, WANG Shu, HUANG Qiong, CHEN Qian-bin. Optimal User Selection Algorithm Based Cooperative Spectrum Sensing for Cognitive Radio [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(2): 32-37.
[7]	XUE Jian-tao, FENG Zhi-yong. Spatial Dynamic Spectrum Access Opportunities in TV Whitespace of Beijing [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(1): 1-5.
[8]	ZHOU Yi-ming, ZHOU Zheng. The Algorithm about Secondary Users Selection and SNR Estimation in Cooperative Spectrum Sensing [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2013, 36(6): 108-112.
[9]	XU Wei-lin, FAN Chun-xiao, WEN Zhi-gang, LIU Jie. A Pilot Detection Scheme Based on Compressed Sensing in Non-Sparse Wideband Spectrum Sensing [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(6): 65-69.
[10]	XU Wen-bo, TIAN Yun, QI Yan-song. 1-bit Cooperative Compressed Spectrum Sensing [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(5): 85-89.
[11]	QIU Tao, SONG Tao, XU Wen-jun, TIAN Bao-yu. Schemes of Joint Design of Energy-Efficient Spectrum Sensing and Transmission [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(5): 54-58.
[12]	Hu Zheng. Joint Optimization with Sensing-Transmission Time Allocation and Power Control for Cooperative Wireless Network [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(3): 1-5.
[13]	. Evolutionary Game for Cooperative Spectrum Sensing in Cognitive Radio Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(1): 28-31.
[14]	. Energy Probability Distribution of Cooperative Spectrum Sensing in Cognitive Radios [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2011, 34(s1): 19-22.
[15]	. Compressed Collaborative Spectrum Sensing in  Cognitive Radio Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2011, 34(5): 76-79.

Reputation Model for Distributed Collaborate Spectrum Sensing

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments