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

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Applied Bio Materials Pub Date : 2024-09-18 DOI:10.3390/math12182908

Xing Pu, Ruixian Wang, Xin Lu

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引用次数: 0

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.

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基于 ABE 和区块链的保护隐私的电磁频谱共享交易方案

电磁频谱是一种有限的资源。随着电磁频谱在各个领域的广泛应用，电磁频谱需求与电磁频谱资源之间的矛盾日益突出。频谱共享是提高电磁频谱利用率的有效途径。然而，现有的基于区块链技术的分布式电磁频谱交易存在诸多挑战。由于区块链不提供隐私保护，交易过程中隐私泄露的风险使得电磁频谱所有者不愿意共享。此外，区块链只能保证完整性，不完善的交易争议解决机制也导致电磁频谱所有者不敢共享。因此，我们提出了一种基于区块链和 ABE 的保护隐私的电磁频谱共享交易方案。该方案不仅设计了密文形式的ABE细粒度访问控制模型，还构建了支持交易仲裁的重加密算法，实现了电磁频谱交易的隐私保护。最后，我们对所提出的电磁频谱交易方案的效率进行了实验评估。实验结果表明，我们提出的电磁频谱交易方案效率很高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464