Research on the Privacy Protection Technology of Blockchain Spatiotemporal Big Data
At present, the rapid development of big data technology and the Internet of Things has led to the generation of spatiotemporal data streams on a substantial scale. In this context, data holders often opt for cloud storage of their data to mitigate the pressure of local storage and computing overhea...
| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
IEEE
2024-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10559589/ |
| _version_ | 1827144712891400192 |
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| author | Bao Zhou Junsan Zhao Ying Yin Guoping Chen |
| author_facet | Bao Zhou Junsan Zhao Ying Yin Guoping Chen |
| author_sort | Bao Zhou |
| collection | DOAJ |
| description | At present, the rapid development of big data technology and the Internet of Things has led to the generation of spatiotemporal data streams on a substantial scale. In this context, data holders often opt for cloud storage of their data to mitigate the pressure of local storage and computing overhead. However, this centralized storage mode renders the data susceptible to risks of tampering and leakage due to the absence of physical control over spatiotemporal big data. Therefore, this paper devises a blockchain-based spatiotemporal big data privacy protection scheme. Initially, to ensure data privacy, the scheme adopts a storage mode where the public and side chains are coordinated. Subsequently, the irreversible SHA256 algorithm is utilized to authenticate the access nodes. Finally, AES and RSA hybrid encryption are applied to encrypt the collected spatiotemporal big data, further enhancing the security of private data. The security performance of the system was evaluated by comparing the success rate of attacks on the blockchain under various circumstances. Additionally, the system throughput of this scheme was analyzed through simulation, revealing that the service life of this system extends to a minimum of 13.79 years when 100 nodes are used. In this context, the system throughput achieves 1607 transactions/s, each node hosts 1.2107 blocks, and querying specific spatiotemporal data takes less than 2 seconds. |
| first_indexed | 2025-03-20T20:03:05Z |
| format | Article |
| id | doaj.art-8f68d765890745f2962a73d973a19b92 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2025-03-20T20:03:05Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-8f68d765890745f2962a73d973a19b922024-08-19T23:00:26ZengIEEEIEEE Access2169-35362024-01-011211118711119510.1109/ACCESS.2024.341559010559589Research on the Privacy Protection Technology of Blockchain Spatiotemporal Big DataBao Zhou0https://orcid.org/0009-0001-4088-2613Junsan Zhao1Ying Yin2Guoping Chen3Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, ChinaWest Anhui University, Lu’an, ChinaFaculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, ChinaAt present, the rapid development of big data technology and the Internet of Things has led to the generation of spatiotemporal data streams on a substantial scale. In this context, data holders often opt for cloud storage of their data to mitigate the pressure of local storage and computing overhead. However, this centralized storage mode renders the data susceptible to risks of tampering and leakage due to the absence of physical control over spatiotemporal big data. Therefore, this paper devises a blockchain-based spatiotemporal big data privacy protection scheme. Initially, to ensure data privacy, the scheme adopts a storage mode where the public and side chains are coordinated. Subsequently, the irreversible SHA256 algorithm is utilized to authenticate the access nodes. Finally, AES and RSA hybrid encryption are applied to encrypt the collected spatiotemporal big data, further enhancing the security of private data. The security performance of the system was evaluated by comparing the success rate of attacks on the blockchain under various circumstances. Additionally, the system throughput of this scheme was analyzed through simulation, revealing that the service life of this system extends to a minimum of 13.79 years when 100 nodes are used. In this context, the system throughput achieves 1607 transactions/s, each node hosts 1.2107 blocks, and querying specific spatiotemporal data takes less than 2 seconds.https://ieeexplore.ieee.org/document/10559589/Spatio-temporal big dataprivacy protectionSHA25blockchain |
| spellingShingle | Bao Zhou Junsan Zhao Ying Yin Guoping Chen Research on the Privacy Protection Technology of Blockchain Spatiotemporal Big Data IEEE Access Spatio-temporal big data privacy protection SHA25 blockchain |
| title | Research on the Privacy Protection Technology of Blockchain Spatiotemporal Big Data |
| title_full | Research on the Privacy Protection Technology of Blockchain Spatiotemporal Big Data |
| title_fullStr | Research on the Privacy Protection Technology of Blockchain Spatiotemporal Big Data |
| title_full_unstemmed | Research on the Privacy Protection Technology of Blockchain Spatiotemporal Big Data |
| title_short | Research on the Privacy Protection Technology of Blockchain Spatiotemporal Big Data |
| title_sort | research on the privacy protection technology of blockchain spatiotemporal big data |
| topic | Spatio-temporal big data privacy protection SHA25 blockchain |
| url | https://ieeexplore.ieee.org/document/10559589/ |
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