High Power Laser and Particle Beams, Volume. 36, Issue 4, 043019(2024)

Visual analysis method for RF fingerprint based on important region localization and masking

Wenbin Liu1...2, Pingzhi Fan1, Jiahuang Yang3, Yukai Li3, Yuhao Wang3 and Hua Meng3,* |Show fewer author(s)
Author Affiliations
  • 1School of Information Science & Technology, Southwest Jiaotong University, Chengdu 611756, China
  • 2The 30th Research Institute of China Electronics Technology Group Corporation, Chengdu 610041, China
  • 3School of Mathematics, Southwest Jiaotong University, Chengdu 611756, China
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    References(15)

    [1] [1] AlShawabka A, Restuccia F, D’o S, et al. Exposing the fingerprint: dissecting the impact of the wireless channel on radio fingerprinting[C]Proceedings of the IEEE INFOCOM 2020 IEEE Conference on Computer Communications. 2020: 646655.

    [4] [4] José A. Gutiérrez del Arroyo Pérez. Learning robust radio frequency fingerprints using deep convolutional neural wks[D]. USA: Air Fce Institute of Technology, 2022.

    [5] [5] Yang Zhou, Liu Ninghao, Hu Xiaben, et al. Tutial on deep learning interpretation: a data perspective[C]Proceedings of the 31st ACM International Conference on Infmation & Knowledge Management. 2022: 51565159.

    [6] [6] Srivastava G, Jhaveri R H, Bhattaya S, et al. XAI f cybersecurity: state of the art, challenges, open issues future directions[DBOL]. arXiv preprint arXiv: 2206.03585, 2022.

    [7] [7] Li Hui. Research on visual interpretable method of convolutional neural wks based on class activation mapping[D]. Changchun: Jilin University, 2023

    [8] [8] Selvaraju R R, Cogswell M, Das A, et al. GradCAM: visual explanations from deep wks via gradientbased localization[C]Proceedings of 2017 IEEE International Conference on Computer Vision. 2017: 618626.

    [9] Kim J, Oh J, Heo T Y. Acoustic scene classification and visualization of beehive sounds using machine learning algorithms and grad-CAM[J]. Mathematical Problems in Engineering, 2021, 5594498(2021).

    [10] [10] Liang Xianming, Ni Fan, Chen Wenjie, et al. Interpretability of modulation recognition wk based on timefrequency gradCAM[JOL]. Journal of Southwest Jiaotong University, 2022. https:kns.cnki.kcmsdetail51.1277.u.20220608.1636.008.html.

    [11] [11] Ni Fan. Research on communication signal modulation recognition algithm based on interpretable deep learning[D]. Chengdu: Southwest Jiaotong University, 2022

    [12] [12] Liu Wenbin, Fan Pingzhi, Li Yukai, et al. An interpretable testing architecture f specific emitter identification[J]. Journal of Terahertz Science Electronic Infmation Technology, 2023, 21(6): 734744

    [13] [13] He Kaiming, Zhang Xiangyu, Ren Shaoqing, et al. Deep residual learning f image recognition[C]Proceedings of 2016 IEEE Conference on Computer Vision Pattern Recognition. 2016: 770778.

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    Wenbin Liu, Pingzhi Fan, Jiahuang Yang, Yukai Li, Yuhao Wang, Hua Meng. Visual analysis method for RF fingerprint based on important region localization and masking[J]. High Power Laser and Particle Beams, 2024, 36(4): 043019

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    Paper Information

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    Received: Oct. 30, 2023

    Accepted: Jan. 22, 2024

    Published Online: Apr. 22, 2024

    The Author Email: Meng Hua (menghua@swjtu.edu.cn)

    DOI:10.11884/HPLPB202436.230380

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