SEAIS:结合区块链和卫星网络的安全高效农业图像存储

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Haotian Yang, Pujie Jing, Zihan Wu, Lu Liu, Pengyan Liu
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引用次数: 0

摘要

实时监测的图像完整性对于监测作物生长、帮助农民和研究人员提高生产效率和作物产量至关重要。遗憾的是,现有方案只关注地面设备和无人机成像,忽视了偏远或极端环境下的卫星网络。鉴于卫星网络具有广域覆盖的特点,我们提出了结合区块链和卫星网络的安全高效农业图像存储方案--SEAIS。SEAIS 提出了基于卫星网络的图像处理和传输数学模型。此外,为了确保图像数据在去噪和增强等预处理过程中的完整性和真实性,SEAIS 还包括一种基于区块链、同态加密和零知识证明的安全农业图像存储和验证方法。具体来说,图像通过 IPFS 进行存储,并在区块链上记录哈希值和元数据,确保图像的不变性和透明度。模拟结果表明,SEAIS 在极端环境下表现出更稳定、更高效的处理时间。此外,它还保持了较低的链上存储开销,增强了可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SEAIS: Secure and Efficient Agricultural Image Storage Combining Blockchain and Satellite Networks
The image integrity of real-time monitoring is crucial for monitoring crop growth, helping farmers and researchers improve production efficiency and crop yields. Unfortunately, existing schemes just focus on ground equipment and drone imaging, neglecting satellite networks in remote or extreme environments. Given that satellite internet features wide area coverage, we propose SEAIS, a secure and efficient agricultural image storage scheme combining blockchain and satellite networks. SEAIS presents the mathematical model of image processing and transmission based on satellite networks. Moreover, to ensure the integrity and authenticity of image data during pre-processing such as denoising and enhancement, SEAIS includes a secure agricultural image storage and verification method based on blockchain, homomorphic encryption, and zero-knowledge proof. Specifically, images are stored via IPFS, with hash values and metadata recorded on the blockchain, ensuring immutability and transparency. The simulation results show that SEAIS exhibits more stable and efficient processing times in extreme environments. Also, it maintains low on-chain storage overhead, enhancing scalability.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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