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

Haotian Yang (), Pujie Jing, Zihan Wu, Lu Liu and Pengyan Liu
Additional contact information
Haotian Yang: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Pujie Jing: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Zihan Wu: School of Cyber Science and Engineering, Southeast University, Nanjing 211189, China
Lu Liu: Department of Computer Science, University of Leicester, Leicester LE1 7RH, UK
Pengyan Liu: Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China

Mathematics, 2024, vol. 12, issue 18, 1-13

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.

Keywords: blockchain; satellite networks; image storage model; verifiability (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/12/18/2861/pdf (application/pdf)
https://www.mdpi.com/2227-7390/12/18/2861/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:12:y:2024:i:18:p:2861-:d:1478255

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().