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A Novel Self-adaptive Quantum Steganography Based on Quantum Image and Quantum Watermark

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Cloud Computing and Security (ICCCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10040))

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Abstract

Quantum steganography is an important branch of quantum information hiding. It integrates quantum secure communication technology and classical steganography, which embeds the secret information into public channel for covert communication. In this paper, based on the novel enhanced quantum representation (NEQR), a new quantum steganography algorithm is proposed to embed the secret information into the quantum carrier image and the quantum watermark image. The second least significant qubit (LSQb) of quantum carrier image is replaced with the secret information by implementing quantum circuit for good imperceptibility. Compared with the previous quantum steganography algorithms, the key shared by communicating parties can recover the secret information even if it was tampered while the tampers can be located effectively as well. In the experiment result, the Peak Signal-to-Noise Ratio (PSNR) is calculated with different quantum carrier images and quantum watermark images, which demonstrates the imperceptibility is good.

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References

  1. Xia, Z., Wang, X., Sun, X., Wang, B.: Steganalysis of least significant bit matching using multi-order differences. Secur. Commun. Netw. 7(8), 1283–1291 (2014)

    Article  Google Scholar 

  2. Zheng, Y., Jeon, B., Danhua, X., Jonathan Wu, Q.M., Zhang, H.: Image segmentation by generalized hierarchical fuzzy C-means algorithm. J. Intell. Fuzzy Syst. 28(2), 961–973 (2015)

    Google Scholar 

  3. Chen, B., Shu, H., Coatrieux, G., Chen, G., Sun, X., Coatrieux, J.-L.: Color image analysis by quaternion-type moments. J. Math. Imaging Vis. 51(1), 124–144 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  4. Terhal, B.M., DiVincenzo, D.P., Leung, D.W.: Hiding bits in Bell states. Phys. Rev. Lett. 86, 5807–5813 (2001)

    Article  Google Scholar 

  5. Hayden, P., Leung, D., Smith, G.: Multiparty data hiding of quantum information. Phys. Rev. A 71, 062339 (2005)

    Article  Google Scholar 

  6. Gea-Banacloche, J.: Hiding messages in quantum data. J. Math. Phys. 43, 4531–4536 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  7. Shaw, B.A., Brun, T.A.: Quantum steganography with noisy quantum channels. Phys. Rev. A 83, 022310 (2011)

    Article  Google Scholar 

  8. Mogos, G.: A quantum way to data hiding. Int. J. Multimedia Ubiquit. Eng. 4, 13–20 (2009)

    Google Scholar 

  9. Martin, K.: Steganographic communication with quantum information. In: Furon, T., Cayre, F., Doërr, G., Bas, P. (eds.) IH 2007. LNCS, vol. 4567, pp. 32–49. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  10. Qu, Z.G., Chen, X.B., Luo, M.X., Niu, X.X., Yang, Y.X.: Quantum steganography with large payload based on entanglement swapping of -type entangled states. Opt. Commun. 284, 2075–2082 (2011)

    Article  Google Scholar 

  11. Zhang, Y., Lu, K., Gao, Y.H., Wang, M.: NEQR: a novel enhanced quantum representation of digital images. Quant. Inf. Process. 12(8), 2833–2860 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  12. Le, P.Q., Dong, F., Hirota, K.: A flexible representation of quantum images for polynomial preparation, image compression and processing operations. Quantum Inf. Process. 10(1), 63–84 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  13. Wang, S., Sang, J., Song, X., Niu, X.M.: Least significant qubit (LSQb) information hiding algorithm for quantum image. Measurement 73, 352–359 (2015)

    Article  Google Scholar 

  14. Wang, N., Lin, S.: Watermarking scheme for quantum images based on least significant bit. Chin. J. Quantum Electron. (量子电子学报) 32(3), 263–269 (2015). (in chinese)

    Google Scholar 

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 61373131, 61303039, 61232016, 61501247), PAPD and CICAEET funds.

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Authors and Affiliations

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

    Zhiguo Qu

  2. School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, People’s Republic of China

    Huangxing He

  3. School of Mathematics and Statics, Henan University, Kaifeng, 475004, People’s Republic of China

    Songya Ma

Authors
  1. Zhiguo Qu
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  2. Huangxing He
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  3. Songya Ma
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Corresponding author

Correspondence to Zhiguo Qu .

Editor information

Editors and Affiliations

  1. University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Michigan State University , EAST LANSING, Michigan, USA

    Alex Liu

  3. National Dong Hwa University , Shoufeng, Taiwan

    Han-Chieh Chao

  4. Purdue University , West Lafayette, Indiana, USA

    Elisa Bertino

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Qu, Z., He, H., Ma, S. (2016). A Novel Self-adaptive Quantum Steganography Based on Quantum Image and Quantum Watermark. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10040. Springer, Cham. https://doi.org/10.1007/978-3-319-48674-1_35

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  • DOI: https://doi.org/10.1007/978-3-319-48674-1_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48673-4

  • Online ISBN: 978-3-319-48674-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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