Deep Time-Frequency Denoising Transform Defense for Spectrum Monitoring in Integrated Networks

IF 6.6 1区 计算机科学 Q1 Multidisciplinary
Sicheng Zhang;Yandie Yang;Songlin Yang;Juzhen Wang;Yun Lin
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引用次数: 0

Abstract

The Space-Air-Ground-Sea Integrated Networks (SAGSIN) significantly enhance global communication by merging satellite, aviation, terrestrial, and marine networks. Crucial to SAGSIN's functionality and security is spectrum monitoring using deep learning-based Automatic Modulation Classification (AMC), essential for processing and classifying complex modulation signals. However, these AMC models are susceptible to adversarial attacks. Thus, we introduce the Deep Time-Frequency Denoising Transformation (DTFDT) defense method to mitigate the impact of adversarial attacks. The DTFDT method is comprised of a deep denoising module and a transformation module. The denoising module maps signals into the time-frequency domain, amplifying the differences between benign and adversarial examples, aiding in the elimination of adversarial perturbations. Concurrently, the transformation module develops a learnable network, generating example-specific transformation matrices suited for signal data, which diminishes the effectiveness of attacks. Extensive evaluations on two datasets, RML2016.10a and DMRadio09.real, demonstrate the superior defense capabilities of DTFDT against various attacks.
综合网络频谱监测的深时频降噪变换防御
天空地海一体化网络(SAGSIN)通过合并卫星、航空、陆地和海洋网络,显著增强了全球通信。对SAGSIN的功能和安全性至关重要的是使用基于深度学习的自动调制分类(AMC)进行频谱监测,这对于处理和分类复杂的调制信号至关重要。然而,这些AMC模型容易受到对抗性攻击。因此,我们引入了深度时频去噪变换(DTFDT)防御方法来减轻对抗性攻击的影响。该方法由深度去噪模块和变换模块组成。去噪模块将信号映射到时频域,放大良性和对抗样本之间的差异,帮助消除对抗扰动。同时,变换模块开发了一个可学习的网络,生成适合于信号数据的特定示例变换矩阵,从而降低了攻击的有效性。对两个数据集RML2016.10a和DMRadio09进行了广泛的评估。演示DTFDT对各种攻击的优越防御能力。
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来源期刊
Tsinghua Science and Technology
Tsinghua Science and Technology COMPUTER SCIENCE, INFORMATION SYSTEMSCOMPU-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
10.20
自引率
10.60%
发文量
2340
期刊介绍: Tsinghua Science and Technology (Tsinghua Sci Technol) started publication in 1996. It is an international academic journal sponsored by Tsinghua University and is published bimonthly. This journal aims at presenting the up-to-date scientific achievements in computer science, electronic engineering, and other IT fields. Contributions all over the world are welcome.
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