Skip to main content
SpringerLink
Log in

i-TSS: An Image Encryption Algorithm Based on Transposition, Shuffling and Substitution Using Randomly Generated Bitmap Image

  • Conference paper
  • First Online:
Distributed Computing and Internet Technology (ICDCIT 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9581))

  • 780 Accesses

Abstract

In the digitalized era, an enormous amount of digital images are being shared over the different networks and also available in different storage mediums. Internet users enjoy this convenient way of sharing images and at the meantime, they need to face the consequences like chosen plain-text, statistical, differential attacks, and brute-force attack. These attacks and noises create the need of enhancing the image information security. An image encryption algorithm needs to be robust. An image encryption algorithm (i-TSS) based on transposition, shuffling, and substitution is presented in this paper, that provides better security to the image. This algorithm is implemented using Java. By assessing the results of image quality metrics, this algorithm proves to be secured and robust against the external attacks.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Schneier, B.: Applied Cryptography, 2nd edn. Wiley, New York (1996). ISBN 0-471-11709-9

    Google Scholar 

  2. Soleymani, A., Ali, Z., Nordin, M.: A survey on principal aspects of secure image transmission. In: Proceedings of World Academy of Science, Engineering and Technology, pp. 247–254 (2012)

    Google Scholar 

  3. Stalling, W.: Cryptography and Network Security: Principles and Practice, 6th edn. Prentice Hall, Upper Saddle River (2013). ISBN 978-0133354690

    Google Scholar 

  4. Mollin, R.A.: An Introduction to Cryptography. CRC Press, Boca Raton (2006)

    Google Scholar 

  5. Vanstone, S.A., Menezes, A.J., Oorschot, P.C.: Handbook of Applied Cryptography. CRC Press, Boca Raton (1996)

    Google Scholar 

  6. Zhang, G., Liu, Q.: A novel image encryption method based on total shuffling scheme. Opt. Commun. 284, 2775–2780 (2011)

    Article  Google Scholar 

  7. Lin, Z., Wang, H.: Efficient image encryption using a chaos-based PWL memristor. IETE Tech. Rev. 27, 318–325 (2010)

    Article  Google Scholar 

  8. Diaconu, A.V., Costea, A., Costea, M.A.: Color image scrambling technique based on transposition of pixels between RGB channels using Knight’s moving rules and digital chaotic map. In: Mathematical Problems in Engineering (2014)

    Google Scholar 

  9. Dascalescu, A.C., Boriga, R.E.: A novel fast chaos-based algorithm for generating random permutations with high shift factor suitable for image scrambling. Nonlinear Dyn. 74, 307–318 (2013)

    Article  MathSciNet  Google Scholar 

  10. Dalhoum, A.L.A., Mahafzah, B.A., Awwad, A.A., Aldamari, I., Ortega, A., Alfonseca, M.: Digital image scrambling using 2D cellular automata. IEEE Trans. Multimedia 19, 28–36 (2012)

    Article  Google Scholar 

  11. Askar, S.S., Karawia, A.A., Alshamrani, A.: Image encryption algorithm based on chaotic economic model. In: Mathematical Problems in Engineering (2015)

    Google Scholar 

  12. Zhang, J., Fang, D., Ren, H.: Image encryption algorithm based on DNA encoding and chaotic maps. In: Mathematical Problems in Engineering (2015)

    Google Scholar 

  13. http://www.cs.umd.edu/class/sum2003/cmsc311/Notes/BitOp/xor.html. Accessed 10 October 2015

  14. http://sipi.usc.edu/database/. Accessed 10 October 2015

  15. http://in.mathworks.com/help/images/image-quality-metrics.html and http://in.mathworks.com/help/images/image-quality.html. Accessed 10 October 2015

  16. Peak Signal-to-Noise Ratio as an Image Quality Metric: White paper published by National Instruments China (2013)

    Google Scholar 

  17. Wang, Z., Bovik, A.C.: Mean squared error: Love it or leave it?—A new look at signal fidelity measures. IEEE Signal Process. Mag. 26(1), 98–117 (2009)

    Google Scholar 

  18. Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: From error visibility to structural similarity. IEEE Trans. Image Process. 13, 600–612 (2004)

    Article  Google Scholar 

  19. Wu, Y., Noonan, J.P., Agaian, S.: NPCR and UACI randomness tests for image encryption. Cyber J. Multidiscip. J. Sci. Technol. J. Sel. Areas Telecommun. (JSAT), April Edition, 31–38 (2011)

    Google Scholar 

  20. Shannon, C.: Communication theory of secrecy systems. Bell Syst. Techn. J. 28, 656–7151 (1949)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Alagappa University, Karaikudi, 630 003, Tamilnadu, India

    Kanagaraj Narayanasamy & Padmapriya Arumugam

Authors
  1. Kanagaraj Narayanasamy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Padmapriya Arumugam
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kanagaraj Narayanasamy .

Editor information

Editors and Affiliations

  1. Microsoft Research, Redmond, Washington, USA

    Nikolaj Bjørner

  2. Indian Institute of Technology Delhi, New Delhi, India

    Sanjiva Prasad

  3. IBM Thomas J. Watson Research Center, Yorktown Heights, New York, USA

    Laxmi Parida

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Narayanasamy, K., Arumugam, P. (2016). i-TSS: An Image Encryption Algorithm Based on Transposition, Shuffling and Substitution Using Randomly Generated Bitmap Image. In: Bjørner, N., Prasad, S., Parida, L. (eds) Distributed Computing and Internet Technology. ICDCIT 2016. Lecture Notes in Computer Science(), vol 9581. Springer, Cham. https://doi.org/10.1007/978-3-319-28034-9_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-28034-9_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28033-2

  • Online ISBN: 978-3-319-28034-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation