Single-Server Private Information Retrieval with Sublinear Amortized Time
We construct new private-information-retrieval protocols in the singleserver setting. Our schemes allow a client to privately fetch a sequence of database records from a server, while the server answers each query in average time sublinear in the database size. Specifically, we introduce the first s...
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| Other Authors: | |
| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/144714 |
| _version_ | 1826204610891612160 |
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| author | Henzinger, Alexandra |
| author2 | Corrigan-Gibbs, Henry |
| author_facet | Corrigan-Gibbs, Henry Henzinger, Alexandra |
| author_sort | Henzinger, Alexandra |
| collection | MIT |
| description | We construct new private-information-retrieval protocols in the singleserver setting. Our schemes allow a client to privately fetch a sequence of database records from a server, while the server answers each query in average time sublinear in the database size. Specifically, we introduce the first single-server private-information-retrieval schemes that have sublinear amortized server time, require sublinear additional storage, and allow the client to make her queries adaptively. Our protocols rely only on standard cryptographic assumptions (decision Diffie-Hellman, quadratic residuosity, learning with errors, etc.). They work by having the client first fetch a small “hint” about the database contents from the server. Generating this hint requires server time linear in the database size. Thereafter, the client can use the hint to make a bounded number of adaptive queries to the server, which the server answers in sublinear time—yielding sublinear amortized cost. Finally, we give lower bounds proving that our most efficient scheme is optimal with respect to the trade-off it achieves between server online time and client storage. |
| first_indexed | 2024-09-23T12:57:52Z |
| format | Thesis |
| id | mit-1721.1/144714 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T12:57:52Z |
| publishDate | 2022 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1447142022-08-30T03:32:08Z Single-Server Private Information Retrieval with Sublinear Amortized Time Henzinger, Alexandra Corrigan-Gibbs, Henry Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science We construct new private-information-retrieval protocols in the singleserver setting. Our schemes allow a client to privately fetch a sequence of database records from a server, while the server answers each query in average time sublinear in the database size. Specifically, we introduce the first single-server private-information-retrieval schemes that have sublinear amortized server time, require sublinear additional storage, and allow the client to make her queries adaptively. Our protocols rely only on standard cryptographic assumptions (decision Diffie-Hellman, quadratic residuosity, learning with errors, etc.). They work by having the client first fetch a small “hint” about the database contents from the server. Generating this hint requires server time linear in the database size. Thereafter, the client can use the hint to make a bounded number of adaptive queries to the server, which the server answers in sublinear time—yielding sublinear amortized cost. Finally, we give lower bounds proving that our most efficient scheme is optimal with respect to the trade-off it achieves between server online time and client storage. S.M. 2022-08-29T16:06:42Z 2022-08-29T16:06:42Z 2022-05 2022-06-21T19:25:44.857Z Thesis https://hdl.handle.net/1721.1/144714 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Henzinger, Alexandra Single-Server Private Information Retrieval with Sublinear Amortized Time |
| title | Single-Server Private Information Retrieval with Sublinear Amortized Time |
| title_full | Single-Server Private Information Retrieval with Sublinear Amortized Time |
| title_fullStr | Single-Server Private Information Retrieval with Sublinear Amortized Time |
| title_full_unstemmed | Single-Server Private Information Retrieval with Sublinear Amortized Time |
| title_short | Single-Server Private Information Retrieval with Sublinear Amortized Time |
| title_sort | single server private information retrieval with sublinear amortized time |
| url | https://hdl.handle.net/1721.1/144714 |
| work_keys_str_mv | AT henzingeralexandra singleserverprivateinformationretrievalwithsublinearamortizedtime |