An Efficient Watermarking Scheme for Medical Data Security With the Aid of Neural Network
Autor(a) principal: | |
---|---|
Data de Publicação: | 2016 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Archives of Biology and Technology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132016000300406 |
Resumo: | ABSTRACT Digital watermarking has emerged as major technique for ensuring security for various types of data like medical data, digital copyright protection, transaction tracing and so on. With the advancement in digital data distribution over the network there has been increase in the need for protection of such data from unauthorized copying or usages. Watermarking helps in providing the security to some extent. Robustness against any sort of unauthenticated attack is the major requirement of watermarking. In this paper we proposed an efficient watermarking technique for medical data security with the aid of neural network. Usage of neural network is generally used to create and control watermarking strength automatically. This method provides better watermarked data which can be highly secured to unauthorized usage. It is observed that the proposed method provides better security for the multimedia data when compared with other data security methods. |
id |
TECPAR-1_7a7ba6e99c1752539b8e58f36f4e4f1f |
---|---|
oai_identifier_str |
oai:scielo:S1516-89132016000300406 |
network_acronym_str |
TECPAR-1 |
network_name_str |
Brazilian Archives of Biology and Technology |
repository_id_str |
|
spelling |
An Efficient Watermarking Scheme for Medical Data Security With the Aid of Neural NetworkDigital WatermarkingMedical data securityHVS ModelDiscrete Wavelet TransformNeural networkABSTRACT Digital watermarking has emerged as major technique for ensuring security for various types of data like medical data, digital copyright protection, transaction tracing and so on. With the advancement in digital data distribution over the network there has been increase in the need for protection of such data from unauthorized copying or usages. Watermarking helps in providing the security to some extent. Robustness against any sort of unauthenticated attack is the major requirement of watermarking. In this paper we proposed an efficient watermarking technique for medical data security with the aid of neural network. Usage of neural network is generally used to create and control watermarking strength automatically. This method provides better watermarked data which can be highly secured to unauthorized usage. It is observed that the proposed method provides better security for the multimedia data when compared with other data security methods.Instituto de Tecnologia do Paraná - Tecpar2016-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132016000300406Brazilian Archives of Biology and Technology v.59 n.spe2 2016reponame:Brazilian Archives of Biology and Technologyinstname:Instituto de Tecnologia do Paraná (Tecpar)instacron:TECPAR10.1590/1678-4324-2016161070info:eu-repo/semantics/openAccessKalaivani,K.eng2017-01-19T00:00:00Zoai:scielo:S1516-89132016000300406Revistahttps://www.scielo.br/j/babt/https://old.scielo.br/oai/scielo-oai.phpbabt@tecpar.br||babt@tecpar.br1678-43241516-8913opendoar:2017-01-19T00:00Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)false |
dc.title.none.fl_str_mv |
An Efficient Watermarking Scheme for Medical Data Security With the Aid of Neural Network |
title |
An Efficient Watermarking Scheme for Medical Data Security With the Aid of Neural Network |
spellingShingle |
An Efficient Watermarking Scheme for Medical Data Security With the Aid of Neural Network Kalaivani,K. Digital Watermarking Medical data security HVS Model Discrete Wavelet Transform Neural network |
title_short |
An Efficient Watermarking Scheme for Medical Data Security With the Aid of Neural Network |
title_full |
An Efficient Watermarking Scheme for Medical Data Security With the Aid of Neural Network |
title_fullStr |
An Efficient Watermarking Scheme for Medical Data Security With the Aid of Neural Network |
title_full_unstemmed |
An Efficient Watermarking Scheme for Medical Data Security With the Aid of Neural Network |
title_sort |
An Efficient Watermarking Scheme for Medical Data Security With the Aid of Neural Network |
author |
Kalaivani,K. |
author_facet |
Kalaivani,K. |
author_role |
author |
dc.contributor.author.fl_str_mv |
Kalaivani,K. |
dc.subject.por.fl_str_mv |
Digital Watermarking Medical data security HVS Model Discrete Wavelet Transform Neural network |
topic |
Digital Watermarking Medical data security HVS Model Discrete Wavelet Transform Neural network |
description |
ABSTRACT Digital watermarking has emerged as major technique for ensuring security for various types of data like medical data, digital copyright protection, transaction tracing and so on. With the advancement in digital data distribution over the network there has been increase in the need for protection of such data from unauthorized copying or usages. Watermarking helps in providing the security to some extent. Robustness against any sort of unauthenticated attack is the major requirement of watermarking. In this paper we proposed an efficient watermarking technique for medical data security with the aid of neural network. Usage of neural network is generally used to create and control watermarking strength automatically. This method provides better watermarked data which can be highly secured to unauthorized usage. It is observed that the proposed method provides better security for the multimedia data when compared with other data security methods. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132016000300406 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132016000300406 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4324-2016161070 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
dc.source.none.fl_str_mv |
Brazilian Archives of Biology and Technology v.59 n.spe2 2016 reponame:Brazilian Archives of Biology and Technology instname:Instituto de Tecnologia do Paraná (Tecpar) instacron:TECPAR |
instname_str |
Instituto de Tecnologia do Paraná (Tecpar) |
instacron_str |
TECPAR |
institution |
TECPAR |
reponame_str |
Brazilian Archives of Biology and Technology |
collection |
Brazilian Archives of Biology and Technology |
repository.name.fl_str_mv |
Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar) |
repository.mail.fl_str_mv |
babt@tecpar.br||babt@tecpar.br |
_version_ |
1750318277783977984 |