基于Dempster-Shafer证据理论与抗频谱感知数据篡改攻击的协作式频谱检测算法

苗成林;李彤;吕军;李皓

兵工学报 ›› 2017, Vol. 38 ›› Issue (12) : 2406-2413.

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  • 主管：中国科学技术协会

    主编：许毅达

    ISSN 1000-1093

    　

  • 主办：中国兵工学会

    出版：《兵工学报》 编辑部

    CN 11-2176/TJ

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兵工学报 ›› 2017, Vol. 38 ›› Issue (12) : 2406-2413. DOI: 10.3969/j.issn.1000-1093.2017.12.014
论文

基于Dempster-Shafer证据理论与抗频谱感知数据篡改攻击的协作式频谱检测算法

  • 苗成林， 李彤， 吕军， 李皓
作者信息 +

Cooperative Spectrum Sensing Algorithm against Spectrum Sensing Data Falsification Based on Dempster-Shafer Evidence Theory

  • MIAO Cheng-lin,LI Tong,LYU Jun， LI Hao
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文章历史 +

摘要

针对恶意用户伪造认知用户或者控制已有认知用户、频谱感知数据篡改（SSDF）、使现有协作式频谱检测算法的性能大幅下降问题，提出了一种抗SSDF攻击干扰的协作式频谱检测算法。将SSDF攻击干扰分为Ⅰ类和Ⅱ类，通过Dempster-Shafer (D-S)证据理论设置用户权重和判决门限，区分Ⅰ类恶意用户、Ⅱ类恶意用户和可信用户，只使用可信的频谱检测数据进行信息融合，以判决频谱占用的情况、提高检测性能。理论分析与仿真结果表明，该算法能够有效对抗Ⅰ类和Ⅱ类 SSDF的攻击干扰，其检测性能明显优于现有D-S证据融合频谱检测算法。

Abstract

The malicious users forge and get command of the secondary users, which causes the spectrum sensing data falsification (SSDF) to decrease the performance of existing cooperative spectrum sensing algorithm. A cooperative spectrum sensing algorithm against SSDF is proposed. The SSDF attack is divided into Class Ⅰ and Ⅱ. User weight and decision threshold are set to distinguish the malicious users of Class Ⅰ and Ⅱ malicious users, and trusted secondary users by using Dempster-Shafer (D-S) evidence theory. Only trusted spectrum detection data can be used in information fusion to judge the spectrum usageand improve the detection performance. Theoretical analysis and simulated results show that the proposed algorithm can effectively confront SSDF attack interference, and its judgment performance is superior to that of existing D-S evidence fusion spectrum sensing algorithm. Key

关键词

兵器科学与技术 / Dempster-Shafer证据理论 / 频谱检测 / 数据篡改 / 信息融合

Key words

ordnancescienceandtechnology / Dempster-Shaferevidencetheory / spectrumsensing / datafalsification / informationfusion

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苗成林， 李彤， 吕军， 李皓. 基于Dempster-Shafer证据理论与抗频谱感知数据篡改攻击的协作式频谱检测算法. 兵工学报. 2017, 38(12): 2406-2413 https://doi.org/10.3969/j.issn.1000-1093.2017.12.014
MIAO Cheng-lin,LI Tong,LYU Jun， LI Hao. Cooperative Spectrum Sensing Algorithm against Spectrum Sensing Data Falsification Based on Dempster-Shafer Evidence Theory. Acta Armamentarii. 2017, 38(12): 2406-2413 https://doi.org/10.3969/j.issn.1000-1093.2017.12.014

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第38卷第12期
2017年12月兵工学报ACTA
ARMAMENTARIIVol.38No.12Dec.2017

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