Privacy-preserving image retrieval based on additive secret sharing in cloud environment
Author:
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10586-023-04213-5.pdf
Reference62 articles.
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2. Xu, Y., Gong, J., Xiong, L., Xu, Z., Wang, J., Shi, Y.: A privacy-preserving content-based image retrieval method in cloud environment. J. Visual Commun. Image Represent. 43, 164–172 (2017)
3. Ferreira, B., Rodrigues, J., Leitao, J., Domingos, H.: Practical privacy-preserving content-based retrieval in cloud image repositories. IEEE Trans. Cloud Comput. 7(3), 784–798 (2017)
4. Yaseen, A.A., Sabri, M.H., Hussain, H.A.: Secure and efficient image retrieval based on global features. In: IOP Conference Series: Materials Science and Engineering, vol. 518, p. 042005 (2019). IOP Publishing
5. Majhi, M., Maheshkar, S.: Privacy preserving in cbir using color and texture features. In: 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC), pp. 276–281 (2016). IEEE
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