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Title of Journal: Multimed Tools Appl

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Abbravation: Multimedia Tools and Applications

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Springer US

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DOI

10.1007/978-94-009-4013-0_6

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ISSN

1573-7721

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Mobilecloud assisted framework for selective encr

Authors: Muhammad Sajjad Khan Muhammad Sung Wook Baik Seungmin Rho Zahoor Jan SangSoo Yeo Irfan Mehmood
Publish Date: 2016/08/16
Volume: 76, Issue: 3, Pages: 3519-3536
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Abstract

In this paper the problem of outsourcing the selective encryption of a medical image to cloud by resourceconstrained 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 noninterest 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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