PPChain: A Blockchain for Pandemic Prevention and Control Assisted by Federated Learning
Taking COVID-19 as an example, we know that a pandemic can have a huge impact on normal human life and the economy. Meanwhile, the population flow between countries and regions is the main factor affecting the changes in a pandemic, which is determined by the airline network. Therefore, realizing th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/10/8/965 |
| _version_ | 1797585503691735040 |
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| author | Tianruo Cao Yongqi Pan Honghui Chen Jianming Zheng Tao Hu |
| author_facet | Tianruo Cao Yongqi Pan Honghui Chen Jianming Zheng Tao Hu |
| author_sort | Tianruo Cao |
| collection | DOAJ |
| description | Taking COVID-19 as an example, we know that a pandemic can have a huge impact on normal human life and the economy. Meanwhile, the population flow between countries and regions is the main factor affecting the changes in a pandemic, which is determined by the airline network. Therefore, realizing the overall control of airports is an effective way to control a pandemic. However, this is restricted by the differences in prevention and control policies in different areas and privacy issues, such as how a patient’s personal data from a medical center cannot be effectively combined with their passenger personal data. This prevents more precise airport control decisions from being made. To address this, this paper designed a novel data-sharing framework (i.e., PPChain) based on blockchain and federated learning. The experiment uses a CPU i7-12800HX and uses Docker to simulate multiple virtual nodes. The model is deployed to run on an NVIDIA GeForce GTX 3090Ti GPU. The experiment shows that the relationship between a pandemic and aircraft transport can be effectively explored by PPChain without sharing raw data. This approach does not require centralized trust and improves the security of the sharing process. The scheme can help formulate more scientific and rational prevention and control policies for the control of airports. Additionally, it can use aerial data to predict pandemics more accurately. |
| first_indexed | 2024-03-11T00:07:02Z |
| format | Article |
| id | doaj.art-f6fb0dfe7a5b44fb8b535a6f33599b10 |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-11T00:07:02Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-f6fb0dfe7a5b44fb8b535a6f33599b102023-11-19T00:18:28ZengMDPI AGBioengineering2306-53542023-08-0110896510.3390/bioengineering10080965PPChain: A Blockchain for Pandemic Prevention and Control Assisted by Federated LearningTianruo Cao0Yongqi Pan1Honghui Chen2Jianming Zheng3Tao Hu4Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, ChinaScience and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, ChinaScience and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, ChinaScience and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, ChinaScience and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, ChinaTaking COVID-19 as an example, we know that a pandemic can have a huge impact on normal human life and the economy. Meanwhile, the population flow between countries and regions is the main factor affecting the changes in a pandemic, which is determined by the airline network. Therefore, realizing the overall control of airports is an effective way to control a pandemic. However, this is restricted by the differences in prevention and control policies in different areas and privacy issues, such as how a patient’s personal data from a medical center cannot be effectively combined with their passenger personal data. This prevents more precise airport control decisions from being made. To address this, this paper designed a novel data-sharing framework (i.e., PPChain) based on blockchain and federated learning. The experiment uses a CPU i7-12800HX and uses Docker to simulate multiple virtual nodes. The model is deployed to run on an NVIDIA GeForce GTX 3090Ti GPU. The experiment shows that the relationship between a pandemic and aircraft transport can be effectively explored by PPChain without sharing raw data. This approach does not require centralized trust and improves the security of the sharing process. The scheme can help formulate more scientific and rational prevention and control policies for the control of airports. Additionally, it can use aerial data to predict pandemics more accurately.https://www.mdpi.com/2306-5354/10/8/965blockchainfederated learningpandemic prevention and controlprivacy-preserving |
| spellingShingle | Tianruo Cao Yongqi Pan Honghui Chen Jianming Zheng Tao Hu PPChain: A Blockchain for Pandemic Prevention and Control Assisted by Federated Learning Bioengineering blockchain federated learning pandemic prevention and control privacy-preserving |
| title | PPChain: A Blockchain for Pandemic Prevention and Control Assisted by Federated Learning |
| title_full | PPChain: A Blockchain for Pandemic Prevention and Control Assisted by Federated Learning |
| title_fullStr | PPChain: A Blockchain for Pandemic Prevention and Control Assisted by Federated Learning |
| title_full_unstemmed | PPChain: A Blockchain for Pandemic Prevention and Control Assisted by Federated Learning |
| title_short | PPChain: A Blockchain for Pandemic Prevention and Control Assisted by Federated Learning |
| title_sort | ppchain a blockchain for pandemic prevention and control assisted by federated learning |
| topic | blockchain federated learning pandemic prevention and control privacy-preserving |
| url | https://www.mdpi.com/2306-5354/10/8/965 |
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