Privacy-Preserving Image Retrieval and Sharing in Social Multimedia Applications
Every day social multimedia applications generate millions of images. To handle such huge amount of images, an optimal solution is using the public cloud, since it has powerful storage capability. Images usually contain a wealth of sensitive information, therefore social service providers need not o...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9064563/ |
| _version_ | 1819158297665601536 |
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| author | Zongye Zhang Fucai Zhou Shiyue Qin Qiang Jia Zifeng Xu |
| author_facet | Zongye Zhang Fucai Zhou Shiyue Qin Qiang Jia Zifeng Xu |
| author_sort | Zongye Zhang |
| collection | DOAJ |
| description | Every day social multimedia applications generate millions of images. To handle such huge amount of images, an optimal solution is using the public cloud, since it has powerful storage capability. Images usually contain a wealth of sensitive information, therefore social service providers need not only to provide services such as retrieval and sharing but also to protect the privacies of the images. In this paper, we propose a privacy-preserving scheme for content-based image retrieval and sharing in social multimedia applications. First, the users extract visual features from the images, and perform locality-sensitive hashing functions on visual features to generate image profile vectors. We then model the retrieval on the images as the equality search on the image profile vectors. To enable accurate and efficient retrieval, we design the secure index structure based on cuckoo hashing, which has constant lookup time. To meet the requirements of dynamic image updating, we enrich our service with image insertion and deletion. In order to reduce the key management overhead and the access control overhead in social applications, we process keys using secret sharing techniques to enable the users holding similar images to query and decrypt images independently. Finally we implement the prototype of the proposed scheme, and perform experiments over encrypted image databases. |
| first_indexed | 2024-12-22T16:22:25Z |
| format | Article |
| id | doaj.art-520bda2feb724f57b392d421767b4cc1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T16:22:25Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-520bda2feb724f57b392d421767b4cc12022-12-21T18:20:13ZengIEEEIEEE Access2169-35362020-01-018668286683810.1109/ACCESS.2020.29849169064563Privacy-Preserving Image Retrieval and Sharing in Social Multimedia ApplicationsZongye Zhang0https://orcid.org/0000-0002-6146-1674Fucai Zhou1https://orcid.org/0000-0001-6054-3523Shiyue Qin2https://orcid.org/0000-0002-8936-9079Qiang Jia3https://orcid.org/0000-0002-8891-9681Zifeng Xu4https://orcid.org/0000-0001-5564-2770Software College, Northeastern University, Shenyang, ChinaSoftware College, Northeastern University, Shenyang, ChinaSchool of Computer Science and Engineering, Northeastern University, Shenyang, ChinaSoftware College, Northeastern University, Shenyang, ChinaSoftware College, Northeastern University, Shenyang, ChinaEvery day social multimedia applications generate millions of images. To handle such huge amount of images, an optimal solution is using the public cloud, since it has powerful storage capability. Images usually contain a wealth of sensitive information, therefore social service providers need not only to provide services such as retrieval and sharing but also to protect the privacies of the images. In this paper, we propose a privacy-preserving scheme for content-based image retrieval and sharing in social multimedia applications. First, the users extract visual features from the images, and perform locality-sensitive hashing functions on visual features to generate image profile vectors. We then model the retrieval on the images as the equality search on the image profile vectors. To enable accurate and efficient retrieval, we design the secure index structure based on cuckoo hashing, which has constant lookup time. To meet the requirements of dynamic image updating, we enrich our service with image insertion and deletion. In order to reduce the key management overhead and the access control overhead in social applications, we process keys using secret sharing techniques to enable the users holding similar images to query and decrypt images independently. Finally we implement the prototype of the proposed scheme, and perform experiments over encrypted image databases.https://ieeexplore.ieee.org/document/9064563/Image retrievalimage sharingmultimediaprivacy-preserving |
| spellingShingle | Zongye Zhang Fucai Zhou Shiyue Qin Qiang Jia Zifeng Xu Privacy-Preserving Image Retrieval and Sharing in Social Multimedia Applications IEEE Access Image retrieval image sharing multimedia privacy-preserving |
| title | Privacy-Preserving Image Retrieval and Sharing in Social Multimedia Applications |
| title_full | Privacy-Preserving Image Retrieval and Sharing in Social Multimedia Applications |
| title_fullStr | Privacy-Preserving Image Retrieval and Sharing in Social Multimedia Applications |
| title_full_unstemmed | Privacy-Preserving Image Retrieval and Sharing in Social Multimedia Applications |
| title_short | Privacy-Preserving Image Retrieval and Sharing in Social Multimedia Applications |
| title_sort | privacy preserving image retrieval and sharing in social multimedia applications |
| topic | Image retrieval image sharing multimedia privacy-preserving |
| url | https://ieeexplore.ieee.org/document/9064563/ |
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