Efficient outsourced extraction of histogram features over encrypted images in cloud

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References

  1. 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. 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. 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. 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. 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. 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

    MathSciNet  Article  Google Scholar 

  7. 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. 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. 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 

Download references

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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