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

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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.

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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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Authors and Affiliations

  1. Digital Image Processing Laboratory, Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan

    Muhammad Sajjad & Zahoor Jan

  2. Intelligent Media Laboratory, Department of Digital Contents, College of Electronics and Information Engineering, Sejong University, Seoul, Republic of Korea

    Khan Muhammad & Sung Wook Baik

  3. Department of Media Software, Sungkyul University, Anyang, Republic of Korea

    Seungmin Rho

  4. Division of Convergence Computer & Media, Mokwon University, Daejeon, Republic of Korea

    Sang-Soo Yeo

  5. Department of Computer Science and Engineering, Sejong University, Seoul, Republic of Korea

    Irfan Mehmood

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  1. Muhammad Sajjad
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  2. Khan Muhammad
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  3. Sung Wook Baik
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  4. Seungmin Rho
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  5. Zahoor Jan
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  6. Sang-Soo Yeo
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  7. Irfan Mehmood
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Correspondence to Irfan Mehmood.

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Sajjad, M., Muhammad, K., Baik, S.W. et al. Mobile-cloud assisted framework for selective encryption of medical images with steganography for resource-constrained devices. Multimed Tools Appl 76, 3519–3536 (2017). https://doi.org/10.1007/s11042-016-3811-6

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