Skip to main content
SpringerLink
Log in

A Novel Color Image Encryption Scheme Based on Controlled Alternate Quantum Walks and DNA Sequence Operations

  • Conference paper
  • First Online:
Machine Learning for Cyber Security (ML4CS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12486))

Included in the following conference series:

Abstract

The powerful storage function and convenient service function of cloud computing attract more and more users to save their digit image on the cloud server. However, the insecure data transmission process of cloud computing may lead to the disclosure of user privacy. At the same time, the existing machine learning algorithms do not consider the privacy and security of digit image in the application process. To solve the above problems, a novel color image encryption scheme based on controlled alternate quantum walks (CAQW) and DNA sequence operations is proposed. CAQW is used as a pseudo-random number generator (PRNG) to scramble pixel positions, and DNA encoding rule is used to replace the pixel value, and then the sequence of pseudo-random numbers generated by PRNG and DNA operation rules are used in two rounds of encryption of plaintext images. Our anlaysis and simulation show that this scheme can resist statistical analysis attack, differential attack and other attacks. In conclusion, the color image encryption scheme is robustness and efficient for protection of privacy image security.

Supported by NSFC (Grant Nos. 61701229, 6170236761901218), Natural Science Foundation of Jiangsu Province, China (Grant Nos. BK20170802BK20190407), China Postdoctoral Science Foundation funded Project (Grant Nos. 2018M630557, 2018T110499), Jiangsu Planned Projects for Postdoctoral Research Funds (Grant No. 1701139B), the Open Fund of the State Key Laboratory of Cryptology (Grant No. MMKFKT201914).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Pope, C.: Biometric data collection in an unprotected world: exploring the need for federal legislation protecting biometric data. JL Pol’y 26, 769–771 (2018)

    MathSciNet  Google Scholar 

  2. Li, P., Li, T., Ye, H., et al.: Privacy-preserving machine learning with multiple data providers. Future Gener. Comput. Syst. 87, 341–350 (2018)

    Article  Google Scholar 

  3. Zhang, L., et al.: A novel color image encryption scheme using fractionai-order hyperchaotic system and DNA sequence operations. Chin. Phys. B 26, 100504 (2017). https://doi.org/10.1088/1674-1056/26/10/100504

    Article  Google Scholar 

  4. Wang, X., et al.: Image encryption scheme based on Chaos and DNA plane operations. Multimed. Tools Appl. 9 (2019)

    Google Scholar 

  5. Ouyang, X., Luo, Y., Liu, J., et al.: A color image encryption method based on memristive hyperchaotic system and DNA encryption. Int. J. Mod. Phys. B 34(4), 2050014 (2020)

    Article  MathSciNet  Google Scholar 

  6. Mohamed, H.G., ElKamchouchi, D.H., Moussa, K.H.: A novel color image encryption algorithm based on hyperchaotic maps and mitochondrial DNA sequences. Entropy 22(2), 158 (2020)

    Article  Google Scholar 

  7. Liu, H., Wang, X.: Image encryption using DNA complementary rule and chaotic maps. Appl. Soft Comput. 12, 1457 (2012)

    Article  Google Scholar 

  8. Abd El-Latif, A.A., Abd-El-Atty, B., Venegas-Andraca, S.E.: Controlled alternate quantum walk-based pseudo-random number generator and its application to quantum color image encryption. Phys. A 547, 123869 (2019)

    Article  MathSciNet  Google Scholar 

  9. Childs, A.M., Gosset, D., Webb, Z.: Universal computation by multiparticle quantum walk. Science 339, 791 (2013)

    Article  MathSciNet  Google Scholar 

  10. Lovett, N.B., Cooper, S., Everitt, M., Trevers, M., Kendon, V.: Universal quantum computation using the discrete-time quantum walk. Phys. Rev. A 81, 042330 (2010)

    Article  MathSciNet  Google Scholar 

  11. Li, D., et al.: Discrete-time interacting quantum walks and quantum hash schemes. Quant. Inf. Proc. 12, 1501–1513 (2012). https://doi.org/10.1007/s11128-012-0421-8

    Article  MathSciNet  MATH  Google Scholar 

  12. Li, D., et al.: Controlled alternate quantum walks based quantum hash function. Sci. Rep. 8, 1–7 (2017). https://doi.org/10.1038/s41598-017-18566-6

    Article  Google Scholar 

  13. Wang, X., Zhang, H.: A color image encryption with heterogeneous bit-permutation and correlated chaos. Opt. Commun. 342, 52 (2015)

    Google Scholar 

  14. Wei, X., Guo, L.: A novel color image encryption algorithm based on DNA sequence operation and hyper-chaotic system. J. Syst. Softw. 85, 290 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Ting Yan & Dan Li

Authors
  1. Ting Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ting Yan .

Editor information

Editors and Affiliations

  1. Xidian University, Xi'an, China

    Xiaofeng Chen

  2. Guangzhou University, Guangzhou, China

    Hongyang Yan

  3. Michigan State University, East Lansing, MI, USA

    Qiben Yan

  4. Division of Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science, Thuwal, Saudi Arabia

    Xiangliang Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yan, T., Li, D. (2020). A Novel Color Image Encryption Scheme Based on Controlled Alternate Quantum Walks and DNA Sequence Operations. In: Chen, X., Yan, H., Yan, Q., Zhang, X. (eds) Machine Learning for Cyber Security. ML4CS 2020. Lecture Notes in Computer Science(), vol 12486. Springer, Cham. https://doi.org/10.1007/978-3-030-62223-7_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-62223-7_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62222-0

  • Online ISBN: 978-3-030-62223-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation