Fast Private Location-based Information Retrieval Over the Torus
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866914891412013056 |
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| author | Yoo, Joon Soo Hong, Mi Yeon Heo, Ji Won Lee, Kang Hoon Yoon, Ji Won |
| author_facet | Yoo, Joon Soo Hong, Mi Yeon Heo, Ji Won Lee, Kang Hoon Yoon, Ji Won |
| contents | Location-based services offer immense utility, but also pose significant privacy risks. In response, we propose LocPIR, a novel framework using homomorphic encryption (HE), specifically the TFHE scheme, to preserve user location privacy when retrieving data from public clouds. Our system employs TFHE's expertise in non-polynomial evaluations, crucial for comparison operations. LocPIR showcases minimal client-server interaction, reduced memory overhead, and efficient throughput. Performance tests confirm its computational speed, making it a viable solution for practical scenarios, demonstrated via application to a COVID-19 alert model. Thus, LocPIR effectively addresses privacy concerns in location-based services, enabling secure data sharing from the public cloud. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_19871 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Fast Private Location-based Information Retrieval Over the Torus Yoo, Joon Soo Hong, Mi Yeon Heo, Ji Won Lee, Kang Hoon Yoon, Ji Won Cryptography and Security Networking and Internet Architecture Location-based services offer immense utility, but also pose significant privacy risks. In response, we propose LocPIR, a novel framework using homomorphic encryption (HE), specifically the TFHE scheme, to preserve user location privacy when retrieving data from public clouds. Our system employs TFHE's expertise in non-polynomial evaluations, crucial for comparison operations. LocPIR showcases minimal client-server interaction, reduced memory overhead, and efficient throughput. Performance tests confirm its computational speed, making it a viable solution for practical scenarios, demonstrated via application to a COVID-19 alert model. Thus, LocPIR effectively addresses privacy concerns in location-based services, enabling secure data sharing from the public cloud. |
| title | Fast Private Location-based Information Retrieval Over the Torus |
| topic | Cryptography and Security Networking and Internet Architecture |
| url | https://arxiv.org/abs/2407.19871 |