Enhancing secure multi-group data sharing through integration of IPFS and hyperledger fabric
Data sharing is increasingly important across various industries. However, issues such as data integrity verification during sharing, encryption key leakage, and difficulty sharing data between different user groups have been identified. To address these challenges, this study proposes a multi-group...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2024-03-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-1962.pdf |
| _version_ | 1797233089381924864 |
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| author | Feng Wen Zhuo Wang Leda Qu Haixin Huang Xiaojie Hu |
| author_facet | Feng Wen Zhuo Wang Leda Qu Haixin Huang Xiaojie Hu |
| author_sort | Feng Wen |
| collection | DOAJ |
| description | Data sharing is increasingly important across various industries. However, issues such as data integrity verification during sharing, encryption key leakage, and difficulty sharing data between different user groups have been identified. To address these challenges, this study proposes a multi-group data sharing network model based on Consortium Blockchain and IPFS for P2P sharing. This model uses a dynamic key encryption algorithm to provide secure data sharing, avoiding the problems associated with existing data transmission techniques such as key cracking or data leakage due to low security and reliability. Additionally, the model establishes an IPFS network for users within the group, allowing for the generation of data probes to verify data integrity, and the use of the Fabric network to record log information and probe data related to data operations and encryption. Data owners retain full control over access to their data to ensure privacy and security. The experimental results show that the system proposed in this study has wide applicability. |
| first_indexed | 2024-04-24T16:10:37Z |
| format | Article |
| id | doaj.art-09a61e48335a4280ae2e16e653915cbf |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-04-24T16:10:37Z |
| publishDate | 2024-03-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-09a61e48335a4280ae2e16e653915cbf2024-03-31T15:05:42ZengPeerJ Inc.PeerJ Computer Science2376-59922024-03-0110e196210.7717/peerj-cs.1962Enhancing secure multi-group data sharing through integration of IPFS and hyperledger fabricFeng Wen0Zhuo Wang1Leda Qu2Haixin Huang3Xiaojie Hu4School of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning, ChinaSchool of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning, ChinaSchool of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning, ChinaSchool of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, Liaoning, ChinaSchool of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning, ChinaData sharing is increasingly important across various industries. However, issues such as data integrity verification during sharing, encryption key leakage, and difficulty sharing data between different user groups have been identified. To address these challenges, this study proposes a multi-group data sharing network model based on Consortium Blockchain and IPFS for P2P sharing. This model uses a dynamic key encryption algorithm to provide secure data sharing, avoiding the problems associated with existing data transmission techniques such as key cracking or data leakage due to low security and reliability. Additionally, the model establishes an IPFS network for users within the group, allowing for the generation of data probes to verify data integrity, and the use of the Fabric network to record log information and probe data related to data operations and encryption. Data owners retain full control over access to their data to ensure privacy and security. The experimental results show that the system proposed in this study has wide applicability.https://peerj.com/articles/cs-1962.pdfBlockchainIPFSData sharingData integrityDynamic keyMultiple groups |
| spellingShingle | Feng Wen Zhuo Wang Leda Qu Haixin Huang Xiaojie Hu Enhancing secure multi-group data sharing through integration of IPFS and hyperledger fabric PeerJ Computer Science Blockchain IPFS Data sharing Data integrity Dynamic key Multiple groups |
| title | Enhancing secure multi-group data sharing through integration of IPFS and hyperledger fabric |
| title_full | Enhancing secure multi-group data sharing through integration of IPFS and hyperledger fabric |
| title_fullStr | Enhancing secure multi-group data sharing through integration of IPFS and hyperledger fabric |
| title_full_unstemmed | Enhancing secure multi-group data sharing through integration of IPFS and hyperledger fabric |
| title_short | Enhancing secure multi-group data sharing through integration of IPFS and hyperledger fabric |
| title_sort | enhancing secure multi group data sharing through integration of ipfs and hyperledger fabric |
| topic | Blockchain IPFS Data sharing Data integrity Dynamic key Multiple groups |
| url | https://peerj.com/articles/cs-1962.pdf |
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