基于复合熵和证据理论的抗SSDF攻击协作频谱感知方法

doi:10.12305/j.issn.1001-506X.2023.11.35

系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (11): 3663-3670.doi: 10.12305/j.issn.1001-506X.2023.11.35

基于复合熵和证据理论的抗SSDF攻击协作频谱感知方法

苑申昊¹, 陈增茂¹^,²^,*, 刁鸣¹, 孙志国¹, 孙溶辰¹

1. 哈尔滨工程大学信息与通信工程学院, 黑龙江哈尔滨 150001
2. 哈尔滨工程大学工业和信息化部先进船舶通信与信息技术重点实验室, 黑龙江哈尔滨 150001

收稿日期:2022-07-14 出版日期:2023-10-25 发布日期:2023-10-31
通讯作者: 陈增茂
作者简介:苑申昊 (1997—), 男, 硕士研究生, 主要研究方向为认知无线电、协作频谱感知
陈增茂 (1981—), 男, 副教授, 博士, 主要研究方向为认知无线电、干扰建模、通信对抗
刁鸣 (1960—), 男, 教授, 博士, 主要研究方向为宽频带信号检测、处理与识别, 通信信号处理
孙志国 (1977—), 男, 教授, 博士, 主要研究方向为认知通信电子战
孙溶辰 (1988—), 男, 副教授, 博士, 主要研究方向为信道测量与建模
基金资助:
国家自然科学基金(62001139)

Cooperative spectrum sensing method against SSDF attacks based on composite entropy and evidence theory

Shenhao YUAN¹, Zengmao CHEN¹^,²^,*, Ming DIAO¹, Zhiguo SUN¹, Rongchen SUN¹

1. School of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2. Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin 150001, China

Received:2022-07-14 Online:2023-10-25 Published:2023-10-31
Contact: Zengmao CHEN

摘要/Abstract

摘要：

针对协作频谱感知中, 频谱感知数据篡改(spectrum sensing data falsification, SSDF)攻击导致的感知性能恶化问题, 在次级用户中恶意用户占比小于一半的情况下, 提出一种基于复合熵和证据理论的抗SSDF攻击协作频谱感知方法。首先, 次级用户根据本地感知统计量计算基本概率分配(basic probability assignment, BPA)信息。然后, 融合中心根据BPA计算距离值并进行熵处理得到复合熵, 再以复合熵为权重对BPA信息进行调整, 降低恶意用户的权重。最后, 针对证据理论中Dempster融合公式的弊端, 采用加权求和法代替传统的融合公式。仿真结果表明, 和已有方法相比, 在不同类型的SSDF攻击下, 所提算法具有较好的感知性能。

关键词: 协作频谱感知, 频谱感知数据篡改, 复合熵, 证据理论

Abstract:

Aiming at the problem of sensing performance deterioration caused by spectrum sensing data falsification (SSDF) attacks in cooperative spectrum sensing, when the proportion of malicious users in secondary users is less than half, an anti-SSDF attacks cooperative spectrum sensing method based on composite entropy and evidence theory is proposed. Firstly, secondary users compute basic probability assignment (BPA) information based on local perception statistics. Secondly, the fusion center calculates the distance value according to the BPA and performs entropy processing to obtain the composite entropy, and then uses the composite entropy as the weight to adjust the BPA information to reduce the weight of malicious users. Finally, in view of the disadvantages of Dempster's fusion formula in evidence theory, the weighted summation method is used to replace the traditional fusion formula. The simulation results show that, compared with the other existing methods, the proposed method has better sensing performance under different types of SSDF attacks.

Key words: cooperative spectrum sensing, spectrum sensing data falsification (SSDF), composite entropy, evidence theory

中图分类号:

TN92

苑申昊, 陈增茂, 刁鸣, 孙志国, 孙溶辰. 基于复合熵和证据理论的抗SSDF攻击协作频谱感知方法[J]. 系统工程与电子技术, 2023, 45(11): 3663-3670.

Shenhao YUAN, Zengmao CHEN, Ming DIAO, Zhiguo SUN, Rongchen SUN. Cooperative spectrum sensing method against SSDF attacks based on composite entropy and evidence theory[J]. Systems Engineering and Electronics, 2023, 45(11): 3663-3670.

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算法	无MU	AF攻击	AB攻击	随机攻击	混合攻击
本文算法	适用	适用	适用	适用	适用
证据间相似性法	适用	适用	适用	适用	适用
双重可靠评估法	适用	适用	适用	适用	适用
Jousselme距离法	适用	适用	适用	适用	适用
BJS+信度熵法	适用	适用	适用	适用	适用
Lance+信度熵法	适用	失效	失效	适用	失效
信噪比权重法	适用	失效	失效	适用	失效
Dempster融合法	适用	失效	失效	适用	失效

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基于复合熵和证据理论的抗SSDF攻击协作频谱感知方法

Cooperative spectrum sensing method against SSDF attacks based on composite entropy and evidence theory

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