Pixel-based dispersal scheme for medical image survivability and confidentiality

Digital medical image survivability and confidentiality is an essential concern for healthcare institution in archiving medical image. Survivability issue in the current conventional archiving system happened when the server becomes temporarily inaccessible; meanwhile confidentiality happened when t...

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Main Author:	Nelmiawati, Nelmiawati
Format:	Thesis
Language:	English
Published:	2014
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/48038/25/NelmiawatiMFK2014.pdf
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id	my-utm-ep.48038
record_format	uketd_dc
spelling	my-utm-ep.480382017-08-09T04:39:43Z Pixel-based dispersal scheme for medical image survivability and confidentiality 2014-06 Nelmiawati, Nelmiawati QA75 Electronic computers. Computer science Digital medical image survivability and confidentiality is an essential concern for healthcare institution in archiving medical image. Survivability issue in the current conventional archiving system happened when the server becomes temporarily inaccessible; meanwhile confidentiality happened when the data disclosed by unauthorized party. This project introduces a potential approach by integrating Rabin’s Information Dispersal Algorithm (IDA) and Shamir’s Secret Sharing Algorithm (SSA) for solving these issues. These approaches have been already known for providing data survivability and confidentiality in other fields. This project applies these secret sharing threshold schemes to a system called Medical Image Dispersal Picture Archiving Communication System (MIaDPACS) to provide digital medical image survivability and confidentiality. The pixels are extracted, encoded, and dispersed by using Rabin’s IDA into distributed archiving system. The secret key used in Rabin’s IDA is dispersed by using Shamir’s SSA. Original image reconstruction requires only subset of the dispersed files with numbers equals to a defined threshold during dispersal. Experimental results showed that the reconstructed image was exactly identic with the original image both for nosalt and salt scheme. This is shown by Peak Signal to Noise Ratio (PSNR) value that is equal to infinity. In addition, random dispersed files does not reveal the original image. Thus, MIaDPACS is able to provide the survivability and confidentiality for digital medical image. 2014-06 Thesis http://eprints.utm.my/id/eprint/48038/ http://eprints.utm.my/id/eprint/48038/25/NelmiawatiMFK2014.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Nelmiawati, Nelmiawati Pixel-based dispersal scheme for medical image survivability and confidentiality
description	Digital medical image survivability and confidentiality is an essential concern for healthcare institution in archiving medical image. Survivability issue in the current conventional archiving system happened when the server becomes temporarily inaccessible; meanwhile confidentiality happened when the data disclosed by unauthorized party. This project introduces a potential approach by integrating Rabin’s Information Dispersal Algorithm (IDA) and Shamir’s Secret Sharing Algorithm (SSA) for solving these issues. These approaches have been already known for providing data survivability and confidentiality in other fields. This project applies these secret sharing threshold schemes to a system called Medical Image Dispersal Picture Archiving Communication System (MIaDPACS) to provide digital medical image survivability and confidentiality. The pixels are extracted, encoded, and dispersed by using Rabin’s IDA into distributed archiving system. The secret key used in Rabin’s IDA is dispersed by using Shamir’s SSA. Original image reconstruction requires only subset of the dispersed files with numbers equals to a defined threshold during dispersal. Experimental results showed that the reconstructed image was exactly identic with the original image both for nosalt and salt scheme. This is shown by Peak Signal to Noise Ratio (PSNR) value that is equal to infinity. In addition, random dispersed files does not reveal the original image. Thus, MIaDPACS is able to provide the survivability and confidentiality for digital medical image.
format	Thesis
qualification_level	Master's degree
author	Nelmiawati, Nelmiawati
author_facet	Nelmiawati, Nelmiawati
author_sort	Nelmiawati, Nelmiawati
title	Pixel-based dispersal scheme for medical image survivability and confidentiality
title_short	Pixel-based dispersal scheme for medical image survivability and confidentiality
title_full	Pixel-based dispersal scheme for medical image survivability and confidentiality
title_fullStr	Pixel-based dispersal scheme for medical image survivability and confidentiality
title_full_unstemmed	Pixel-based dispersal scheme for medical image survivability and confidentiality
title_sort	pixel-based dispersal scheme for medical image survivability and confidentiality
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2014
url	http://eprints.utm.my/id/eprint/48038/25/NelmiawatiMFK2014.pdf
_version_	1747817292684591104

Pixel-based dispersal scheme for medical image survivability and confidentiality

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