A Novel Cooperative Spectrum Sensing Approach Against Malicious Users in Cognitive Radio Networks

被引：1

作者：

Wang Zhendong ^{[1
]}

Wang Huiqiang ^{[1
]}

Feng Guangsheng ^{[1
]}

Lv Hongwu ^{[1
]}

Zhu Qiang ^{[1
]}

机构：

[1] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin, Peoples R China

来源：

2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND APPLICATIONS (CSA) | 2013年

关键词：

cognitive radio networks; cooperative spectrum sensing; punishment mechanism; GAME;

D O I：

10.1109/CSA.2013.44

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

To deal with the existence of malicious secondary users bring damage to the performance of cooperative spectrum sensing, a trust game model named FRTrust is proposed. In FRTrust, the reputation status is used to describe the performance of a secondary user in cooperative spectrum sensing process. It encourages secondary users to choose positive and honest behavior strategies for greater and long term benefits. If a secondary user departs from the normal times in its life period, it will be punished superimposed. Simulation results show that the FRTrust algorithm can improve the transaction success ratio of cooperative spectrum sensing, and guarantee the fairness and spectrum access performance for cognitive radio networks.

引用

页码：163 / 166

页数：4

共 50 条

[1] Analysis of Sensing Efficiency for Cooperative Spectrum Sensing With Malicious Users in Cognitive Radio Networks
Liu, Shi-Qi
Hu, Bin-Jie
[J]. IEEE COMMUNICATIONS LETTERS, 2014, 18 (09) : 1645 - 1648
[2] Cooperative spectrum sensing for cognitive radio networks in the presence of smart malicious users
Haghighat, Maryam
Sadough, Seyed Mohammad Sajad
[J]. AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2014, 68 (06) : 520 - 527
[3] A Cooperative Spectrum Sensing Scheme in Malicious Cognitive Radio Networks
Gao, Rui
Zhang, Zhenghua
Zhang, Meixiang
Yang, Jing
Qi, Peihan
[J]. 2019 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2019,
[4] Multiband Cooperative Spectrum Sensing for Cognitive Radio in the Presence of Malicious Users
Saber, Mohammad Javad
Sadough, Seyed Mohammad Sajad
[J]. IEEE COMMUNICATIONS LETTERS, 2016, 20 (02) : 404 - 407
[5] Genetic Algorithm Based Cooperative Spectrum Sensing Optimization in the Presence of Malicious Users in Cognitive Radio Networks
Khan, Muhammad Sajjad
Kim, Su Min
Lee, Eung Hyuk
Kim, Junsu
[J]. 2019 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC): ICT CONVERGENCE LEADING THE AUTONOMOUS FUTURE, 2019, : 207 - 209
[6] Nullifying Malicious Users for Cooperative Spectrum Sensing in Cognitive Radio Networks Using Outlier Detection Methods
Prasain, Prakash
Choi, Dong-You
[J]. UBIQUITOUS COMPUTING APPLICATION AND WIRELESS SENSOR, 2015, 331 : 123 - 131
[7] Extreme Learning Machine Based Identification of Malicious Users for Secure Cooperative Spectrum Sensing in Cognitive Radio Networks
Manish Kumar Giri
Saikat Majumder
[J]. Wireless Personal Communications, 2023, 130 : 1993 - 2012
[8] Performance of p-Norm Detector in Cognitive Radio Networks with Cooperative Spectrum Sensing in Presence of Malicious Users
Lavanis, Nandita
Jalihal, Devendra
[J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2017,
[9] Extreme Learning Machine Based Identification of Malicious Users for Secure Cooperative Spectrum Sensing in Cognitive Radio Networks
Giri, Manish Kumar
Majumder, Saikat
[J]. WIRELESS PERSONAL COMMUNICATIONS, 2023, 130 (03) : 1993 - 2012
[10] A Novel Approach in Cooperative Spectrum Sensing for Cognitive Radio
Thennattil, Jubin James
Manuel, Ebin M.
[J]. 2013 IEEE RECENT ADVANCES IN INTELLIGENT COMPUTATIONAL SYSTEMS (RAICS), 2013, : 43 - 47

← 1 2 3 4 5 →