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- W2920782418 abstract "The traditional privacy-preserving image retrieval schemes not only bring large computational and communication overhead but also cannot well protect the image and query privacy in multi-user scenarios. To solve the above problems, we first propose a basic privacy-preserving content-based image retrieval (CBIR) framework which significantly reduces storage and communication overhead compared with the previous works. Furthermore, we design a new efficient key conversion protocol to support unshared key multi-owner multi-user image retrieval without losing search precision. Moreover, our framework supports unbounded attributes and can trace malicious users according to leaked secret keys, which significantly improve the usability of multi-source data sharing. Strict security analysis shows that the user privacy and outsourced data security can be guaranteed during the image retrieval process, and the performance analysis using real-world dataset shows that the proposed image retrieval framework is efficient and feasible for practical applications." @default.
- W2920782418 created "2019-03-11" @default.
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- W2920782418 date "2019-04-01" @default.
- W2920782418 modified "2023-10-14" @default.
- W2920782418 title "Search in My Way: Practical Outsourced Image Retrieval Framework Supporting Unshared Key" @default.
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- W2920782418 doi "https://doi.org/10.1109/infocom.2019.8737619" @default.
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