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Efficient outsourced extraction of histogram features over encrypted images in cloud

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References

  1. Li B, He J H, Huang J W, et al. A survey on image steganography and steganalysis. J Inform Hiding Multimedia Signal Process, 2011, 2: 142–172

    Google Scholar 

  2. Song X F, Liu F L, Yang C F, et al. Steganalysis of adaptive JPEG steganography using 2D Gabor filters. In: Proceedings of ACM Workshop on Information Hiding and Multimedia Security, Portland, 2015. 15–23

  3. Ma Y Y, Luo X Y, Li X L, et al. Selection of rich model steganalysis features based on decision rough set α-positive region reduction. IEEE Trans Circ Syst Video Technol, 2019, 29: 336–350

    Article  Google Scholar 

  4. Holub V, Fridrich J. Low-complexity features for JPEG steganalysis using undecimated DCT. IEEE Trans Inform Forensic Secur, 2015, 10: 219–228

    Article  Google Scholar 

  5. Ren Y L, Dong M, Qian Z X, et al. Efficient algorithm for secure outsourcing of modular exponentiation with single server. IEEE Trans Cloud Comput, 2018. doi: https://doi.org/10.1109/TCC.2018.2851245

  6. Chen X F, Susilo W, Li J, et al. Efficient algorithms for secure outsourcing of bilinear pairings. Theory Comput Sci, 2015, 562: 112–121

    Article  MathSciNet  Google Scholar 

  7. Dong M, Ren Y L. Efficient and secure outsourcing of bilinear pairings with single server. Sci China Inf Sci, 2018, 61: 039104

    Article  Google Scholar 

  8. Wang C, Zhang B S, Ren K L, et al. Privacy-assured outsourcing of image reconstruction service in cloud. IEEE Trans Emerg Top Comput, 2013, 1: 166–177

    Article  Google Scholar 

  9. Ren Y L, Zhang X P, Feng G R, et al. How to extract image features based on co-occurrence matrix securely and efficiently in cloud computing. IEEE Trans Cloud Comput, 2017, 8: 207–219

    Article  Google Scholar 

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. U1736120, 61572309, U1636206, 61525203, U1536109) and Natural Science Foundation of Shanghai (Grant No. 19ZR1419000).

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Correspondence to Guorui Feng.

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Ren, Y., Zhang, X., Gu, D. et al. Efficient outsourced extraction of histogram features over encrypted images in cloud. Sci. China Inf. Sci. 64, 139105 (2021). https://doi.org/10.1007/s11432-018-9901-0

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  • DOI: https://doi.org/10.1007/s11432-018-9901-0

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