A privacy-preserving and traitor tracking content-based image retrieval scheme in cloud computing

To ensure the image security, a large number of ciphertext image retrieval methods have been studied and applied, such as homomorphic encryption and multi-key encryption. However, most of these algorithms do not consider the protection of image copyright, user information and traitor tracking. For t...

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Bibliographic Details
Published in:Multimedia systems 2021-06, Vol.27 (3), p.403-415
Main Authors: Wang, Zhangdong, Qin, Jiaohua, Xiang, Xuyu, Tan, Yun
Format: Article
Language:English
Subjects:
Algorithms
Cloud computing
Computer Communication Networks
Computer Graphics
Computer Science
Cryptology
Data Storage Representation
Encryption
Image management
Image retrieval
Low Complexity Methods for Multimedia Security
Operating Systems
Privacy
Special Issue Paper
Tracking
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Summary:To ensure the image security, a large number of ciphertext image retrieval methods have been studied and applied, such as homomorphic encryption and multi-key encryption. However, most of these algorithms do not consider the protection of image copyright, user information and traitor tracking. For this reason, this paper proposes a privacy-preserving and traitor tracking content-based image retrieval scheme in cloud computing. This method introduces the DenseNet network to strengthen statistical features. One-way hash algorithm and XOR operation are used to protect copyright and user information, and reversible information hiding algorithm is accessed for traitor tracking. Experimental results show that compared with other algorithms that support leak tracking, our method achieves higher retrieval precision, higher retrieval efficiency and simpler architecture.
ISSN:0942-4962
1432-1882
DOI:10.1007/s00530-020-00734-w