Paper Info
Title
Mobile-cloud assisted framework for selective encryption of medical images with steganography for resource-constrained devices.
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.
Year
DOI
Venue
2017
10.1007/s11042-016-3811-6
Multimedia Tools Appl.
Keywords
Field
DocType
Medical image processing,Image steganography,Visual saliency models,Selective image encryption,Mobile-cloud computing,Information security,Resource-constrained devices
Mobile cloud computing,Steganography,Computer vision,Steganography tools,Computer science,Image quality,Encryption,Artificial intelligence,On-the-fly encryption,Digital image processing,Cloud computing
Journal
Volume
Issue
ISSN
76
3
1380-7501
Citations 
PageRank 
References 
20
0.68
30
Authors
7
Name
Order
Citations
PageRank
Muhammad Sajjad1632.67
Khan Muhammad298667.67
Sung Wook Baik396057.77
Seungmin Rho444138.53
Zahoor Jan51046.78
Sang-Soo Yeo646746.39
Irfan Mehmood752230.84