Research and application of innovative models for public data integration based on secure multi-party computation
Secure multi-party computation is widely used in finance, the Internet, and other fields to solve the problem of ＆quot;data silos＆quot;, but its application in the field of public data is not yet mature.An innovative model for public data integration based on secure multi-party computation was propo...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2023-11-01
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| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2023073 |
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| _version_ | 1850212944229433344 |
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| author | Jiahe JIN Chengyao ZHAO Haoze QIU Peng LIU |
| author_facet | Jiahe JIN Chengyao ZHAO Haoze QIU Peng LIU |
| author_sort | Jiahe JIN |
| collection | DOAJ |
| description | Secure multi-party computation is widely used in finance, the Internet, and other fields to solve the problem of ＆quot;data silos＆quot;, but its application in the field of public data is not yet mature.An innovative model for public data integration based on secure multi-party computation was proposed, and a technical architecture for joint computing using public data from different parties while protecting their private information was presented.The model breaks through institutional constraints through technological innovation, achieving a balance between improving data value and ensuring data security.Three sub-layers of the core system of secure multi-party computation in the proposed model, including the joint computation substructure layer, the secure relational algebra layer, and the basic operator layer of secure multi-party computation were mainly analyzed.Additionally, a general process for implementing the innovative model was presented, and the practical application of the innovative model was also discussed.The results of this study provide a new reference for promoting digital China construction and facilitating the flow of data resources. |
| format | Article |
| id | doaj-art-35002d73bf994c24bc195c2b37c822ed |
| institution | OA Journals |
| issn | 2096-0271 |
| language | zho |
| publishDate | 2023-11-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 大数据 |
| spelling | doaj-art-35002d73bf994c24bc195c2b37c822ed2025-08-20T02:09:14ZzhoChina InfoCom Media Group大数据2096-02712023-11-019152759544811Research and application of innovative models for public data integration based on secure multi-party computationJiahe JINChengyao ZHAOHaoze QIUPeng LIUSecure multi-party computation is widely used in finance, the Internet, and other fields to solve the problem of ＆quot;data silos＆quot;, but its application in the field of public data is not yet mature.An innovative model for public data integration based on secure multi-party computation was proposed, and a technical architecture for joint computing using public data from different parties while protecting their private information was presented.The model breaks through institutional constraints through technological innovation, achieving a balance between improving data value and ensuring data security.Three sub-layers of the core system of secure multi-party computation in the proposed model, including the joint computation substructure layer, the secure relational algebra layer, and the basic operator layer of secure multi-party computation were mainly analyzed.Additionally, a general process for implementing the innovative model was presented, and the practical application of the innovative model was also discussed.The results of this study provide a new reference for promoting digital China construction and facilitating the flow of data resources.http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2023073secure multi-party computation;public data;innovative integration |
| spellingShingle | Jiahe JIN Chengyao ZHAO Haoze QIU Peng LIU Research and application of innovative models for public data integration based on secure multi-party computation 大数据 secure multi-party computation;public data;innovative integration |
| title | Research and application of innovative models for public data integration based on secure multi-party computation |
| title_full | Research and application of innovative models for public data integration based on secure multi-party computation |
| title_fullStr | Research and application of innovative models for public data integration based on secure multi-party computation |
| title_full_unstemmed | Research and application of innovative models for public data integration based on secure multi-party computation |
| title_short | Research and application of innovative models for public data integration based on secure multi-party computation |
| title_sort | research and application of innovative models for public data integration based on secure multi party computation |
| topic | secure multi-party computation;public data;innovative integration |
| url | http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2023073 |
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