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A Privacy-Preserving Electromagnetic-Spectrum-Sharing Trading Scheme Based on ABE and Blockchain

Author

Listed:
  • Xing Pu

    (The State Radio Monitoring Center, Beijing 100041, China)

  • Ruixian Wang

    (School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China)

  • Xin Lu

    (The State Radio Monitoring Center, Beijing 100041, China)

Abstract

The electromagnetic spectrum is a limited resource. With the widespread application of the electromagnetic spectrum in various fields, the contradiction between the demand for the electromagnetic spectrum and electromagnetic spectrum resources has become increasingly prominent. Spectrum sharing is an effective way to improve the utilization of the electromagnetic spectrum. However, there are many challenges in existing distributed electromagnetic spectrum trading based on blockchain technology. Since a blockchain does not provide privacy protection, the risk of privacy leakage during the trading process makes electromagnetic spectrum owners unwilling to share. In addition, a blockchain only guarantees integrity, and the imperfect trading dispute resolution mechanism causes electromagnetic spectrum owners to be afraid to share. Therefore, we propose a privacy-preserving electromagnetic-spectrum-sharing trading scheme based on blockchain and ABE. The scheme not only designs an ABE fine-grained access control model in ciphertext form but also constructs a re-encryption algorithm that supports trading arbitration to achieve privacy protection for electromagnetic spectrum trading. Finally, we experimentally evaluated the efficiency of the proposed electromagnetic spectrum trading scheme. The experimental results show that the electromagnetic spectrum trading scheme we propose was highly efficient.

Suggested Citation

  • Xing Pu & Ruixian Wang & Xin Lu, 2024. "A Privacy-Preserving Electromagnetic-Spectrum-Sharing Trading Scheme Based on ABE and Blockchain," Mathematics, MDPI, vol. 12(18), pages 1-17, September.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:18:p:2908-:d:1480520
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    References listed on IDEAS

    as
    1. Prabhat Thakur & G. Singh, 2020. "Power management for spectrum sharing in cognitive radio communication system: a comprehensive survey," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 34(4), pages 407-461, March.
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