Research on privacy information retrieval model based on hybrid homomorphic encryption
Abstract The computational complexity of privacy information retrieval protocols is often linearly related to database size. When the database size is large, the efficiency of privacy information retrieval protocols is relatively low. This paper designs an effective privacy information retrieval mod...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-12-01
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| Series: | Cybersecurity |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42400-023-00168-7 |
| _version_ | 1797414809737625600 |
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| author | Wei-tao Song Guang Zeng Wen-zheng Zhang Dian-hua Tang |
| author_facet | Wei-tao Song Guang Zeng Wen-zheng Zhang Dian-hua Tang |
| author_sort | Wei-tao Song |
| collection | DOAJ |
| description | Abstract The computational complexity of privacy information retrieval protocols is often linearly related to database size. When the database size is large, the efficiency of privacy information retrieval protocols is relatively low. This paper designs an effective privacy information retrieval model based on hybrid fully homomorphic encryption. The assignment method is cleverly used to replace a large number of homomorphic encryption operations. At the same time, the multiplicative homomorphic encryption scheme is first used to deal with the large-scale serialization in the search, and then the fully homomorphic encryption scheme is used to deal with the remaining simple operations. The depth of operations supported by the fully homomorphic scheme no longer depends on the size of the database, but only needs to support the single homomorphic encryption scheme to decrypt the circuit depth. Based on this hybrid homomorphic encryption retrieval model, the efficiency of homomorphic privacy information retrieval model can be greatly improved. |
| first_indexed | 2024-03-09T05:39:11Z |
| format | Article |
| id | doaj.art-9c66486065ac4ee08a82bc8cc031596a |
| institution | Directory Open Access Journal |
| issn | 2523-3246 |
| language | English |
| last_indexed | 2024-03-09T05:39:11Z |
| publishDate | 2023-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Cybersecurity |
| spelling | doaj.art-9c66486065ac4ee08a82bc8cc031596a2023-12-03T12:26:46ZengSpringerOpenCybersecurity2523-32462023-12-016111010.1186/s42400-023-00168-7Research on privacy information retrieval model based on hybrid homomorphic encryptionWei-tao Song0Guang Zeng1Wen-zheng Zhang2Dian-hua Tang3Science and Technology on Communication Security LaboratoryCollege of Computer Science and Technology, National University of Defense TechnologyScience and Technology on Communication Security LaboratoryScience and Technology on Communication Security LaboratoryAbstract The computational complexity of privacy information retrieval protocols is often linearly related to database size. When the database size is large, the efficiency of privacy information retrieval protocols is relatively low. This paper designs an effective privacy information retrieval model based on hybrid fully homomorphic encryption. The assignment method is cleverly used to replace a large number of homomorphic encryption operations. At the same time, the multiplicative homomorphic encryption scheme is first used to deal with the large-scale serialization in the search, and then the fully homomorphic encryption scheme is used to deal with the remaining simple operations. The depth of operations supported by the fully homomorphic scheme no longer depends on the size of the database, but only needs to support the single homomorphic encryption scheme to decrypt the circuit depth. Based on this hybrid homomorphic encryption retrieval model, the efficiency of homomorphic privacy information retrieval model can be greatly improved.https://doi.org/10.1186/s42400-023-00168-7CryptographyHybrid homomorphic encryptionPrivacy protectionPrivate information retrieval |
| spellingShingle | Wei-tao Song Guang Zeng Wen-zheng Zhang Dian-hua Tang Research on privacy information retrieval model based on hybrid homomorphic encryption Cybersecurity Cryptography Hybrid homomorphic encryption Privacy protection Private information retrieval |
| title | Research on privacy information retrieval model based on hybrid homomorphic encryption |
| title_full | Research on privacy information retrieval model based on hybrid homomorphic encryption |
| title_fullStr | Research on privacy information retrieval model based on hybrid homomorphic encryption |
| title_full_unstemmed | Research on privacy information retrieval model based on hybrid homomorphic encryption |
| title_short | Research on privacy information retrieval model based on hybrid homomorphic encryption |
| title_sort | research on privacy information retrieval model based on hybrid homomorphic encryption |
| topic | Cryptography Hybrid homomorphic encryption Privacy protection Private information retrieval |
| url | https://doi.org/10.1186/s42400-023-00168-7 |
| work_keys_str_mv | AT weitaosong researchonprivacyinformationretrievalmodelbasedonhybridhomomorphicencryption AT guangzeng researchonprivacyinformationretrievalmodelbasedonhybridhomomorphicencryption AT wenzhengzhang researchonprivacyinformationretrievalmodelbasedonhybridhomomorphicencryption AT dianhuatang researchonprivacyinformationretrievalmodelbasedonhybridhomomorphicencryption |