通信学报 ›› 2023, Vol. 44 ›› Issue (12): 134-145.doi: 10.11959/j.issn.1000-436x.2023213

• 学术论文 • 上一篇    

基于双重信誉值与多角度权值的抗SSDF攻击协作频谱感知方法

孙志国, 王钊, 陈增茂, 孙溶辰   

  1. 哈尔滨工程大学信息与通信工程学院,黑龙江 哈尔滨 150001
  • 修回日期:2023-10-18 出版日期:2023-12-01 发布日期:2023-12-01
  • 作者简介:孙志国(1977- ),男,黑龙江哈尔滨人,博士,哈尔滨工程大学教授,主要研究方向为认知数据链、无线通信与防护等
    王钊(1997- ),男,黑龙江哈尔滨人,哈尔滨工程大学硕士生,主要研究方向为认知无线电、协作频谱感知算法
    陈增茂(1981- ),男,河北宁晋人,博士,哈尔滨工程大学副教授,主要研究方向为通信对抗、通信干扰建模、认知无线电技术等
    孙溶辰(1988- ),男,黑龙江鸡西人,博士,哈尔滨工程大学副教授,主要研究方向为通信信号识别、无线信道建模
  • 基金资助:
    国家自然科学基金资助项目(62001139)

Double reputation and multi-angle weight-based cooperative spectrum sensing method against SSDF attacks

Zhiguo SUN, Zhao WANG, Zengmao CHEN, Rongchen SUN   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
  • Revised:2023-10-18 Online:2023-12-01 Published:2023-12-01
  • Supported by:
    The National Natural Science Foundation of China(62001139)

摘要:

为保证协作频谱感知具备较好的抗频谱感知数据篡改(SSDF)攻击能力,提出一种基于双重信誉值与多角度权值的协作频谱感知(DRMW-CSS)方法。首先,以历史本地判决结果进行多次迭代获得评分信誉值,并在此基础上计算出准确率信誉值。其次,以双重信誉值和多个信誉值门限对次级用户(SU)进行筛选。然后,判断SSDF攻击对该筛选方法造成的影响程度,并将其分为3种情况。最后,根据不同情况采用相对应多角度权值数据融合判决方法做出最终的全局决策。仿真结果表明,所提方法在面对不同攻击策略与攻击概率的SSDF攻击时具有良好的感知准确率,相较于传统方法具备更好的抗攻击能力。

关键词: 协作频谱感知, 频谱感知数据篡改, 信誉值, 权值

Abstract:

In order to improve the ability of cooperative spectrum sensing to withstand spectrum sensing data falsification (SSDF) attacks, a double reputation and multi-angle weight-based cooperative spectrum sensing (DRMW-CSS) method was proposed.Firstly, a scoring reputation was obtained by multiple iterations of historical local decision results, and an accuracy reputation was calculated on this basis.Secondly, secondary users (SU) were screened by double reputation and multiple reputation thresholds.Then, the impact of SSDF attacks on the screening method was judged and divided into three situations.Finally, the final global decision was made using the corresponding multi-angle weight data fusion decision method according to different situations.Simulation results show that the proposed method has good sensing accuracy when facing SSDF attacks with different attack strategies and probabilities, and has better anti-attack capability compared to traditional methods.

Key words: cooperative spectrum sensing, spectrum sensing data falsification, reputation, weight

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