SEAIS: Secure and Efficient Agricultural Image Storage Combining Blockchain and Satellite Networks

文献类型： 外文期刊

第一作者： Yang, Haotian

作者： Yang, Haotian;Jing, Pujie;Wu, Zihan;Liu, Lu;Liu, Pengyan

作者机构：

关键词： blockchain; satellite networks; image storage model; verifiability

期刊名称：MATHEMATICS （ 影响因子：2.2； 五年影响因子：2.0 ）

ISSN：

年卷期： 2024 年 12 卷 18 期

页码：

收录情况： SCI

摘要： 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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