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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Publication Details

Journal
Mathematics
Published
2024-09-14
DOI
https://doi.org/10.3390/math12182861
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.78

Funders

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article

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

Pujie Jing, Pengyan Liu, Haotian Yang, Zihan Wu et al.
1 citations
Mathematics
Blockchain Technology Applications and Security
0.78
article

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

Pujie Jing, Pengyan Liu, Haotian Yang, Zihan Wu, Lu Liu
article en
1 citations

Abstract

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.

MathematicsVol. 12(18)
Jiangsu University (CN), University of Leicester (GB), Jiangsu Academy of Agricultural Sciences (CN), Southeast University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 21%
Blockchain Technology Applications and Security
0.78
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SEAIS: Secure and Efficient Agricultural Image Storage Combining Blockchain and Satellite Networks — Pujie Jing, Pengyan Liu, et al. · Mathematics (2024) | TGRS Research Map | TGRS