Skip to main content

A Pixel-Based Digital Medical Images Protection Using Genetic Algorithm with LSB Watermark Technique

  • Conference paper
  • First Online:
Smart Systems and IoT: Innovations in Computing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 141))

Abstract

In recent years, especially when these images are transmitted via a network, digital image security has attracted attention. The 2D barcode is designed to encrypt patient information. In this paper, we proposed a grayscale medical image encryption technology based on the characteristics of genetic algorithm (GAS) using LSB technology. The patient information will be converting into 2D barcode and after that, the original image is embedded with 2D barcode using LSB technique. The LSB technique is more suitable for medical imaging. The resulting image is subjected to a genetic algorithm. In this purpose design, we combined the genetic with LSB technique to make the patient image and its information more secured.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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. Huang, H.K., Zhou, X.Q., Cao, F.: Medical image security in a HIPAA mandated PACS environment. Comput. Med. Imaging Graph 27, 185–196 (2003)

    Article  Google Scholar 

  2. Al-Husainy, M.A.F.: A novel encryption method for image security. Int. J. Secur. Its Appl. 6(1), 1–8 (2012)

    Google Scholar 

  3. Pareek, N.K., Patidar, V.: Medical image protection using genetic algorithm operations. Springer Soft Computing, pp. 1–9 (2014)

    Google Scholar 

  4. Rodila, D., Pop, F., Petcu, D., Gorgan, D., Bacu, V.: Experiments on ESIP-environment oriented satellite data processing platform. Earth Sci. Inform. 3, 297–308 (2010)

    Article  Google Scholar 

  5. Petcu, D., Gorgan, D., Pop, F., Tudor, D.: MedioGrid: a grid-based platform for satellite image processing. In: IEEE Workshop Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), pp. 137–142 (2007)

    Google Scholar 

  6. Papadakis, S.E., Tzionas, P., Kaburlasos, V.G., Theocharis, J.B.: A genetic based approach to the type I structure identification. Informatica 16(3), 365–382 (2005)

    Article  MathSciNet  Google Scholar 

  7. Misevicius, A.: Experiments with hybrid genetic algorithm for the grey pattern problem. Informatica 17, 237–258 (2005)

    Article  Google Scholar 

  8. Coatrieux, G., Montagner, J., Huang, H., Roux, C.: Mixed reversible and RONI watermarking for medical image reliability protection. In: IEEE Conference on EMBS (Engineering in Medicine and Biology Society), pp. 5653–5656 (2007)

    Google Scholar 

  9. Seenivasagam, V., Velumani, R.: A reversible blind medical image watermarking scheme for patient identification, improved telediagnosis and tamper detection with a facial image watermark. In: IEEE ICCIC-2010 (IEEE International Conference on Computational Intelligence and Computing Research), pp. 1–8 (2010)

    Google Scholar 

  10. Chang, C.W., Lin, C.H., Yang, C.Y.: An efficient algorithm for protecting and authenticating medical image. In: 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), pp. 67–70 (2012)

    Google Scholar 

  11. Chaudhuri, S.N., Dutt, I., Paul, S.: Implementation of network security using genetic algorithm. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 3, pp. 234–241 (2013)

    Google Scholar 

  12. Castiglione, A., Pizzolante, R., Carpentieri, B.: A secure low complexity approach for compression and transmission of 3-D images. In: IEEE Conference on BWCCA-2013

    Google Scholar 

  13. Pizzolante, R., Castiglione, A., Carpentieri, B.: A secure low complexity approach for compression and transmission of 3-D medical images. In: IEEE Computer Society, 8th International Conference on Broadband, Wireless Computing, Communication and Applications, pp. 387–392 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gaurav Kumar Soni .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Soni, G.K., Rawat, A., Jain, S., Sharma, S.K. (2020). A Pixel-Based Digital Medical Images Protection Using Genetic Algorithm with LSB Watermark Technique. In: Somani, A.K., Shekhawat, R.S., Mundra, A., Srivastava, S., Verma, V.K. (eds) Smart Systems and IoT: Innovations in Computing. Smart Innovation, Systems and Technologies, vol 141. Springer, Singapore. https://doi.org/10.1007/978-981-13-8406-6_46

Download citation

Publish with us

Policies and ethics