| Registro completo |
| Provedor de dados: |
BABT
|
| País: |
Brazil
|
| Título: |
An Efficient Watermarking Scheme for Medical Data Security With the Aid of Neural Network
|
| Autores: |
Kalaivani,K.
|
| Data: |
2016-01-01
|
| Ano: |
2016
|
| Palavras-chave: |
Digital Watermarking
Medical data security
HVS Model
Discrete Wavelet Transform
Neural network
|
| 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.
|
| Tipo: |
Info:eu-repo/semantics/article
|
| Idioma: |
Inglês
|
| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132016000300406
|
| Editor: |
Instituto de Tecnologia do Paraná - Tecpar
|
| Relação: |
10.1590/1678-4324-2016161070
|
| Formato: |
text/html
|
| Fonte: |
Brazilian Archives of Biology and Technology v.59 n.spe2 2016
|
| Direitos: |
info:eu-repo/semantics/openAccess
|
