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...

Full description

Saved in:
Bibliographic Details
Main Author: Nelmiawati, Nelmiawati
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:http://eprints.utm.my/id/eprint/48038/25/NelmiawatiMFK2014.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
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