Multiparty private summation protocol based on two-state quantum-mechanical system
Abstract With the rapid advancement of information technology, data sharing has become increasingly accessible, leading to a heightened need for robust personal data protection. One important application in privacy-preserving computing is the aggregation of information when collaboratively establish...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-05924-y |
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| author | Jason Lin Shao-Lun Huang Chun-Wei Yang Chia-Wei Tsai |
| author_facet | Jason Lin Shao-Lun Huang Chun-Wei Yang Chia-Wei Tsai |
| author_sort | Jason Lin |
| collection | DOAJ |
| description | Abstract With the rapid advancement of information technology, data sharing has become increasingly accessible, leading to a heightened need for robust personal data protection. One important application in privacy-preserving computing is the aggregation of information when collaboratively establishing AI models through public distributed networks. To counter the threat posed by quantum computing to encrypted data, various quantum private summation (QPS) protocols have been proposed thus far. However, some of these existing protocols operate solely under modulo 2, while other approaches for modulo d often rely on impractically high-dimensional qudits. Therefore, this study proposes an innovative multiparty QPS method that balances participant data sharing and privacy without requiring high-dimensional photons. The proposed QPS protocol enables participants to contribute aggregated information to third parties without disclosing individual data. A security analysis further demonstrates that the proposed QPS effectively counters common eavesdropping attacks, ensuring reliable protection of personal data. |
| format | Article |
| id | doaj-art-652b0420b9544e4cb895b2128dc011ea |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-652b0420b9544e4cb895b2128dc011ea2025-08-20T03:45:32ZengNature PortfolioScientific Reports2045-23222025-07-0115111110.1038/s41598-025-05924-yMultiparty private summation protocol based on two-state quantum-mechanical systemJason Lin0Shao-Lun Huang1Chun-Wei Yang2Chia-Wei Tsai3Department of Computer Science and Engineering, National Chung Hsing UniversityDepartment of Computer Science and Engineering, National Chung Hsing UniversityMaster Program for Digital Health Innovation, College of Humanities and Sciences, China Medical UniversityDepartment of Computer Science and Information Engineering, National Taichung University of Science and TechnologyAbstract With the rapid advancement of information technology, data sharing has become increasingly accessible, leading to a heightened need for robust personal data protection. One important application in privacy-preserving computing is the aggregation of information when collaboratively establishing AI models through public distributed networks. To counter the threat posed by quantum computing to encrypted data, various quantum private summation (QPS) protocols have been proposed thus far. However, some of these existing protocols operate solely under modulo 2, while other approaches for modulo d often rely on impractically high-dimensional qudits. Therefore, this study proposes an innovative multiparty QPS method that balances participant data sharing and privacy without requiring high-dimensional photons. The proposed QPS protocol enables participants to contribute aggregated information to third parties without disclosing individual data. A security analysis further demonstrates that the proposed QPS effectively counters common eavesdropping attacks, ensuring reliable protection of personal data.https://doi.org/10.1038/s41598-025-05924-ySecure multi-party computationQuantum private summationModular arithmeticSingle photons |
| spellingShingle | Jason Lin Shao-Lun Huang Chun-Wei Yang Chia-Wei Tsai Multiparty private summation protocol based on two-state quantum-mechanical system Scientific Reports Secure multi-party computation Quantum private summation Modular arithmetic Single photons |
| title | Multiparty private summation protocol based on two-state quantum-mechanical system |
| title_full | Multiparty private summation protocol based on two-state quantum-mechanical system |
| title_fullStr | Multiparty private summation protocol based on two-state quantum-mechanical system |
| title_full_unstemmed | Multiparty private summation protocol based on two-state quantum-mechanical system |
| title_short | Multiparty private summation protocol based on two-state quantum-mechanical system |
| title_sort | multiparty private summation protocol based on two state quantum mechanical system |
| topic | Secure multi-party computation Quantum private summation Modular arithmetic Single photons |
| url | https://doi.org/10.1038/s41598-025-05924-y |
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