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https://hdl.handle.net/10356/175108
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shi, Zhengyu | en_US |
dc.date.accessioned | 2024-04-22T00:19:22Z | - |
dc.date.available | 2024-04-22T00:19:22Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | Shi, Z. (2024). Efficient implementation of structure-aware private set intersection protocol. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175108 | en_US |
dc.identifier.uri | https://hdl.handle.net/10356/175108 | - |
dc.description.abstract | This research aims to producing an efficient, secure and modern implementation of a Structure-Aware Private Set Intersection protocol. Private Set Intersection (PSI) is a fundamental problem in cryptography and privacy computing that aims to securely finding intersection of two parties' sets without disclosing contents beyond intersection to any of the parties. Our work implements three recipes of Structure-Aware PSI under the GRS22 framework with modern C++, and perform rigorous tests and benchmarks over the recipes under different parameter set and settings. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Nanyang Technological University | en_US |
dc.subject | Computer and Information Science | en_US |
dc.title | Efficient implementation of structure-aware private set intersection protocol | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Lam Kwok Yan | en_US |
dc.contributor.school | School of Computer Science and Engineering | en_US |
dc.description.degree | Bachelor's degree | en_US |
dc.contributor.supervisoremail | kwokyan.lam@ntu.edu.sg | en_US |
dc.subject.keywords | Privacy computing | en_US |
dc.subject.keywords | Cryptography | en_US |
dc.subject.keywords | Private set intersection | en_US |
dc.subject.keywords | Oblivious transfer | en_US |
dc.subject.keywords | Implementation | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
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fyp_report_amended.pdf Restricted Access | 413.11 kB | Adobe PDF | View/Open |
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