Fully homomorphic encryption for data privacy in entity resolution
dc.contributor.advisor | Broder, Alan | |
dc.contributor.author | Wechter, Judith | |
dc.date.accessioned | 2024-05-29T21:04:12Z | |
dc.date.available | 2024-05-29T21:04:12Z | |
dc.date.issued | 2024-05-02 | |
dc.description | Unpublished undergraduate honors program | |
dc.description.abstract | In this paper, we have detailed some basic implementations of string algorithms with FHE that are useful in blocking and scoring entity resolution systems. Integrating these string operations with FHE is valuable not only as a step to implementing the blocking and scoring method of entity resolution with FHE but also for computer science in general. In its current state, FHE cannot be used commercially because it is far too slow. But as the hardware for FHE continues to improve, there will be more and more practical applications for FHE. These simple string operations serve as primitives in different search and database applications. They have universal value to any process that requires string matching. Here we have taken the first steps to implementing them with FHE. | |
dc.description.sponsorship | Funded in part by the S. Daniel Abraham Honors Program | |
dc.identifier.citation | Wechter, J. (2024, May 2). Fully homomorphic encryption for data privacy in entity resolution [Unpublished undergraduate honors thesis, Yeshiva University]. | |
dc.identifier.uri | https://hdl.handle.net/20.500.12202/10231 | |
dc.language.iso | en_US | |
dc.publisher | Yeshiva University, Stern College for Women | |
dc.relation.ispartofseries | S. Daniel Abraham Honors Student Theses; May 2, 2024 | |
dc.subject | FHE | |
dc.subject | Fully Homomorphic Encryption | |
dc.subject | Data privacy | |
dc.subject | Entity resolution | |
dc.title | Fully homomorphic encryption for data privacy in entity resolution | |
dc.type | Thesis |
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