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Secure real-time image protection scheme with near-duplicate detection in cloud computing

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Abstract

With advancements in technologies of the Internet and multi-media, various images need to be generated and transmitted anytime. Restricted by local constrained storage space, users can store their images with the assist of the cloud. However, the cloud is a remote semi-trusted party that may extract stored images for adversaries due to monetary reasons. In this paper, a secure real-time image protection scheme is proposed, which can be used to enhance the security of the stored images in cloud computing. Moreover, the convergent encryption is used to construct our scheme, which can provide functionalities of image deduplication checking and near-duplicate detection for the image owner. To improve the efficiency of the near-duplicate detection, deep learning is exploited in our scheme to extract images. Security analysis indicates that the proposed scheme can meet the security requirements of correctness and security. Performance analysis shows that the proposed scheme can be performed with low computational cost.

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Notes

  1. https://www.facebook.com.

  2. http://gmplib.org/.

  3. https://crypto.stanford.edu/pbc/.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China under Grant nos. U1836115, 61672295, and 61672290, the Natural Science Foundation of Jiangsu Province under Grant no. BK20181408, the Foundation of State Key Laboratory of Cryptology under Grant no. MMKFKT201830, the Foundation of Guizhou Provincial Key Laboratory of Public Big Data under Grant no. 2018BDKFJJ003, the CICAEET fund, and the PAPD fund. This work is also supported in part by MOST under contracts 108-2634-F-259-001 through Pervasive Artificial Intelligence Research (PAIR) Labs, Taiwan.

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Authors and Affiliations

  1. Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Dengzhi Liu, Jian Shen, Anxi Wang & Chen Wang

  2. State Key Laboratory of Cryptology, Beijing, 100878, China

    Jian Shen

  3. Guizhou Provincial Key Laboratory of Public Big Data, Guiyang, 550025, China

    Jian Shen

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  1. Dengzhi Liu
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Correspondence to Jian Shen.

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Liu, D., Shen, J., Wang, A. et al. Secure real-time image protection scheme with near-duplicate detection in cloud computing. J Real-Time Image Proc 17, 175–184 (2020). https://doi.org/10.1007/s11554-019-00887-6

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