期刊
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2019)
卷 -, 期 -, 页码 2485-2493出版社
IEEE
DOI: 10.1109/infocom.2019.8737619
关键词
privacy-preserving; content-based image retrieval; unshared key; multi-source data sharing
类别
资金
- NSFC [U1405255]
- Shaanxi Science & Technology Coordination & Innovation Project [2016TZC-G-6-3]
- National Natural Science Foundation of China [61702404, 61702105, U1804263]
- Fundamental Research Funds for the Central Universities [SA-ZD161504, JB171504]
- China Postdoctoral Science Foundation [2017M613080]
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.
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