%0 Journal Article
%T A New Image Watermarking Scheme Using Genetic Algorithm and Residual Numbers with Discrete Wavelet Transform
%A Peter Awonnatemi Agbedemnab
%A Mohammed Akolgo
%A Moses Apambila Agebure
%J Journal of Information Security
%P 422-436
%@ 2153-1242
%D 2023
%I Scientific Research Publishing
%R 10.4236/jis.2023.144023
%X Transmission
of data over the internet has become a critical issue as a result of the
advancement in technology, since it is possible for pirates to steal the
intellectual property of content owners. This paper presents a new digital watermarking
scheme that combines some operators of the Genetic Algorithm (GA) and the
Residue Number (RN) System (RNS) to perform encryption on an image, which</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">is embedded into a cover
image for the purposes of watermarking. Thus, an image watermarking scheme us</span><span style=\"font-family:&quot;\">es</span><span style=\"font-family:&quot;\"> an encrypted image. The
secret image is embedded in decomposed frames of the cover image achieved by
applying a three</span><span style=\"font-family:&quot;\">-</span><span style=\"font-family:&quot;\">level
Discrete Wavelet Transform (DWT). This is to ensure that the secret information
is not exposed even when there is a successful attack on the cover information.
Content creators can prove ownership of the multimedia content by unveiling the
secret information in </span><span style=\"font-family:&quot;\">a</span><span style=\"font-family:&quot;\"> court
of law. The proposed scheme was tested with sample data using MATLAB2022 and
the results of the simulation show a great deal of imperceptibility and
robustness as compared to similar existing schemes.
%K Discrete Wavelet Transform (DWT)
%K Digital Watermarking
%K Encryption
%K Genetic Algorithm (GA)
%K Residue Number System (RNS)
%K GARN
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=128358