Multimedia Tools and Applications

, Volume 76, Issue 3, pp 3519–3536 | Cite as

Mobile-cloud assisted framework for selective encryption of medical images with steganography for resource-constrained devices

  • Muhammad Sajjad
  • Khan Muhammad
  • Sung Wook Baik
  • Seungmin Rho
  • Zahoor Jan
  • Sang-Soo Yeo
  • Irfan Mehmood
Article

Abstract

In this paper, the problem of outsourcing the selective encryption of a medical image to cloud by resource-constrained devices such as smart phone is addressed, without revealing the cover image to cloud using steganography. In the proposed framework, the region of interest of the medical image is first detected using a visual saliency model. The detected important data is then embedded in a host image, producing a stego image which is outsourced to cloud for encryption. The cloud which has powerful resources, encrypts the image and sent back the encrypted marked image to the client. The client can then extract the selectively encrypted region of interest and can combine it with the region of non-interest to form a selectively encrypted image, which can be sent to medical specialists and healthcare centers. Experimental results and analysis validate the effectiveness of the proposed framework in terms of security, image quality, and computational complexity and verify its applicability in remote patient monitoring centers.

Keywords

Medical image processing Image steganography Visual saliency models Selective image encryption Mobile-cloud computing Information security Resource-constrained devices 

Notes

Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (2013R1A1A2061978).

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Digital Image Processing Laboratory, Department of Computer ScienceIslamia College PeshawarPeshawarPakistan
  2. 2.Intelligent Media Laboratory, Department of Digital Contents, College of Electronics and Information EngineeringSejong UniversitySeoulRepublic of Korea
  3. 3.Department of Media SoftwareSungkyul UniversityAnyangRepublic of Korea
  4. 4.Division of Convergence Computer & MediaMokwon UniversityDaejeonRepublic of Korea
  5. 5.Department of Computer Science and EngineeringSejong UniversitySeoulRepublic of Korea

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