Article
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Preserved in Portico This version is not peer-reviewed
A Blockchain Based Framework for Remote Sensing Data Management
Version 1
: Received: 1 August 2023 / Approved: 2 August 2023 / Online: 2 August 2023 (08:43:07 CEST)
A peer-reviewed article of this Preprint also exists.
Zou, Q.; Yu, W.; Bao, Z. A Blockchain Solution for Remote Sensing Data Management Model. Appl. Sci. 2023, 13, 9609. Zou, Q.; Yu, W.; Bao, Z. A Blockchain Solution for Remote Sensing Data Management Model. Appl. Sci. 2023, 13, 9609.
Abstract
A large amount of raw data collected by satellites is processed by the production chain to obtain a large amount of product data, of which the secure exchange and storage is of interest to researchers in the field of remote sensing information science. Authentic, secure data is a critical foundation for data analysis and decision-making. And traditional centralized cloud computing systems are vulnerable to attacks, and once the central server is successfully attacked, all data will be lost. Distributed Ledger Technology (DLT) is an innovative computer technology that can ensure information security, traceability and tamper-proof, and can be applied to the field of remote sensing. Although there are many advantages to using DLT in remote sensing applications, there are some obstacles and limitations to its application. Remote sensing data has the characteristics of large data volume, spatiotemporal nature, global and so on, and it is difficult to store and interconnect remote sensing data in the blockchain. To address these issues, this paper proposes a trustworthy and decentralized system using blockchain. The novelty of this paper is to propose a multi-level blockchain architecture in which the system collects remote sensing data and stores it in the Interplanetary File System (IPFS) network, after generating the IPFS hash, the network rehashes the value again and uploads it on the Ethereum chain for public query. Distributed data storage improves data security, supports the secure exchange of information, and improves the efficiency of data management.
Keywords
Blockchain; Remote sensing data management; Distributed ledger technology; Trusted service; Security
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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