Secure Cooperative Spectrum Sensing and Access Against Intelligent Malicious Behaviors

被引:0
|
作者
Wang, Wei [1 ]
Chen, Lin [2 ]
Shin, Kang G. [3 ]
Duan, Lingjie [4 ]
机构
[1] Zhejiang Univ, Dept Informat Sci & Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
[2] Univ Paris 11, LRI, F-91405 Orsay, France
[3] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
[4] Singapore Univ Technol & Design, Engn Syst & Design Pillar, Singapore, Singapore
关键词
COGNITIVE RADIO;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Sensing falsification is a key security problem in cooperative spectrum sensing for cognitive radio networks. Most previous approaches assume that malicious users only cheat in their sensing reports following a predefined rule. However, some malicious users usually act intelligently to strategically adjust their malicious behavior according to their objectives and the network's defense schemes. The existing schemes cannot resist the malicious behaviors of intelligent malicious users (IMUs) without long-term collection of information on their reputation. In this paper, we construct a moral hazard principal-agent framework and design an incentive compatible mechanism to thwart the malicious behaviors of rational and irrational IMUs. We find that neither spectrum sensing nor spectrum access alone can prevent the malicious behavior without any information on users' reputation. According to the analysis of malicious behavior resistance methods, we propose a joint spectrum sensing and access mechanism to optimally prevent the IMUs from sensing falsification. Our evaluation results show that the proposed mechanism achieves almost the same performance as the ideal case with perfect sensing.
引用
收藏
页码:1267 / 1275
页数:9
相关论文
共 50 条
  • [1] Thwarting Intelligent Malicious Behaviors in Cooperative Spectrum Sensing
    Wang, Wei
    Chen, Lin
    Shin, Kang G.
    Duan, Lingjie
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2015, 14 (11) : 2392 - 2405
  • [2] Secure Cluster-based Cooperative Spectrum Sensing Against Malicious Attackers
    Althunibat, Saud
    Denise, Birawaba J.
    Granelli, Fabrizio
    2014 GLOBECOM WORKSHOPS (GC WKSHPS), 2014, : 1284 - 1289
  • [3] Trusted Throughput-Efficient Spectrum Sensing Against Intelligent Malicious Behaviors in Cognitive Radio Networks
    Karimi, Ali
    Taherpour, Abbas
    2018 9TH INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS (IST), 2018, : 357 - 362
  • [4] Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm
    Gul, Noor
    Qureshi, Ijaz Mansoor
    Elahi, Atif
    Rasool, Imtiaz
    INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, 2018, 2018
  • [5] Secured Soft Combination Schemes Against Malicious-Users in Cooperative Spectrum Sensing
    Gul, Noor
    Qureshi, Ijaz Mansoor
    Naveed, Aqdas
    Elahi, Atif
    Rasool, Imtiaz
    WIRELESS PERSONAL COMMUNICATIONS, 2019, 108 (01) : 389 - 408
  • [6] A Novel Cooperative Spectrum Sensing Approach Against Malicious Users in Cognitive Radio Networks
    Wang Zhendong
    Wang Huiqiang
    Feng Guangsheng
    Lv Hongwu
    Zhu Qiang
    2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND APPLICATIONS (CSA), 2013, : 163 - 166
  • [7] Secured Soft Combination Schemes Against Malicious-Users in Cooperative Spectrum Sensing
    Noor Gul
    Ijaz Mansoor Qureshi
    Aqdas Naveed
    Atif Elahi
    Imtiaz Rasool
    Wireless Personal Communications, 2019, 108 : 389 - 408
  • [8] Cooperative Spectrum Sensing Under Ambient Malicious Interferences
    Sun, Mingyang
    Jin, Ming
    Guo, Qinghua
    Li, Youming
    IEEE COMMUNICATIONS LETTERS, 2018, 22 (02) : 432 - 435
  • [9] Malicious Exploitation of Byzantine Attack for Cooperative Spectrum Sensing
    Gan, Jipeng
    Wu, Jun
    Li, Pei
    Chen, Ze
    Chen, Zehao
    Zhang, Jia
    He, Jiangtao
    2022 IEEE 23RD INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATION (SPAWC), 2022,
  • [10] Throughput and Interference for Cooperative Spectrum Sensing: A Malicious Perspective
    Gan, Jipeng
    Wu, Jun
    Zhang, Jia
    Chen, Zehao
    Chen, Ze
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2021, 15 (11): : 4224 - 4243