Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)

Copyright Protection High Robustness Arnold Transform Wavelet Method

Authors
Bruguiera A. F. Agradriya, Irma Safitri, Ledya Novamizanti, Muhammad Ainul Yaqin
Corresponding Author
Bruguiera A. F. Agradriya
Available Online March 2019.
DOI
10.2991/icoiese-18.2019.16How to use a DOI?
Keywords
audio watermarking; arnold transform; discrete wavelet transform; singular value decomposition
Abstract

Audio watermarking is a technique of information insertion into an audio signal without altering the significant origin of the audio host. Audio watermarking is usually used to protect the copyright of a work in the form of songs, recording of state and other secrets to avoid irresponsible persons. Audio watermarking technique is passed through two stages including embedding, and extracting. The extracted audio signal must be resistant to several attacks. This research analyzes the third scheme of audio watermarking system on Arnold Transform with Discrete Wavelet Transform-Singular Value Decomposition (DWT-SVD) methods. Results show that the systems we designed are robust to some attack types, i.e. LPF 10 kHz, cropping, MP3 compression 256 kHz, and MP3 compression 512 kHz. Our system has BER=0.0012, PSNR=29.2082 and CC=0.9976 for compression and LPF attacks; while with cropping attack this paper shows BER=0, PSNR= ∞ and CC=1.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)
Series
Atlantis Highlights in Engineering
Publication Date
March 2019
ISBN
10.2991/icoiese-18.2019.16
ISSN
2589-4943
DOI
10.2991/icoiese-18.2019.16How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bruguiera A. F. Agradriya
AU  - Irma Safitri
AU  - Ledya Novamizanti
AU  - Muhammad Ainul Yaqin
PY  - 2019/03
DA  - 2019/03
TI  - Copyright Protection High Robustness Arnold Transform Wavelet Method
BT  - Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)
PB  - Atlantis Press
SP  - 87
EP  - 91
SN  - 2589-4943
UR  - https://doi.org/10.2991/icoiese-18.2019.16
DO  - 10.2991/icoiese-18.2019.16
ID  - Agradriya2019/03
ER  -