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Post quantum secure fair data trading with deterability based on machine learning

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References

  1. Zheng S, Pan L, Hu D, et al. A blockchain-based trading platform for big data. In: Proceedings of IEEE Conference on Computer Communications Workshops, 2020. 991–996

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61802239, 61872229, U19B2021, 12101333, 62074131), Key Research and Development Program of Shaanxi Province (Grant Nos. 2020ZDLGY09-06, 2020ZDLGY06-04, 2021ZDLGY06-04, 2021ZDLGY05-01), and Shenzhen Fundamental Research Program (Grant No. 20210317191843003).

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Authors and Affiliations

  1. School of Cybersecurity, Northwestern polytechnical University, Xi’an, 710072, China

    Jinhui Liu & Hongliang Bi

  2. Research & Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, China

    Jinhui Liu

  3. School of Cybersecurity, Xi’an University of Posts and Telecommunications, Xi’an, 710121, China

    Yong Yu & Yanqi Zhao

  4. School of Statistics and Data Science, LPMC & KLMDASR, Nankai University, Tianjin, 300071, China

    Shijia Wang

  5. School of Cyber Science and Engineering, Wuhan University, Wuhan, 430072, China

    Huanguo Zhang

Authors
  1. Jinhui Liu
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  2. Yong Yu
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  3. Hongliang Bi
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  4. Yanqi Zhao
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  5. Shijia Wang
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  6. Huanguo Zhang
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Corresponding author

Correspondence to Yong Yu.

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Supporting information

Appendixes A–C. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Liu, J., Yu, Y., Bi, H. et al. Post quantum secure fair data trading with deterability based on machine learning. Sci. China Inf. Sci. 65, 170308 (2022). https://doi.org/10.1007/s11432-021-3441-y

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  • DOI: https://doi.org/10.1007/s11432-021-3441-y

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