Audio steganography using wavelet transforms for digital audio authentication
In this paper, a system for detecting copied music files using digital audio steganography is presented. The system has two components: the ASTEG (Audio Steganography) Embedder and the ASTEG Player. The encrypted covert data is embedded into the coefficients of host audio (cover signal) in integer w...
Saved in:
Main Authors: | , , , |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2009
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/14480 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
id |
oai:animorepository.dlsu.edu.ph:etd_bachelors-15122 |
---|---|
record_format |
eprints |
spelling |
oai:animorepository.dlsu.edu.ph:etd_bachelors-151222021-11-05T06:12:02Z Audio steganography using wavelet transforms for digital audio authentication Alcontin, Charise Erika C. Carolino, Christine Joy B. Magundayao, Jolly Ann A. Semira, Rodolfo Anthony M. In this paper, a system for detecting copied music files using digital audio steganography is presented. The system has two components: the ASTEG (Audio Steganography) Embedder and the ASTEG Player. The encrypted covert data is embedded into the coefficients of host audio (cover signal) in integer wavelet domain using the ASTEG Embedder, producing a new protected audio signal (stego file). Whenever the stego file is attempted to be accessed through the ASTEG Player, the covert data is retrieved and compared with the existing file properties. When changes are detected with the file property, which is the case when the file is altered or copied, the audio file is flagged as COPIED and will not be accessed by the ASTEG Player. The protected stego signal has a near-original music quality, as proven by the average MOS of -0.2875 (Slightly perceptible but not annoying) and the average SNR of 5.9564 dB for the eight common music genres, BER of 0 (Data was extracted without error) and MSE of 0.3213 (Very minimal error between the original file and stego file). This system is recommended to be incorporated in the music production system and music players in the market to prevent patronage of illegally copied music files. 2009-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/14480 Bachelor's Theses English Animo Repository Music and the Internet Computer crimes Piracy (Copyright) Sound recordings--Pirated editions Intellectual property Wavelets (Mathematics) Digital watermarking Computer security Data protection |
institution |
De La Salle University |
building |
De La Salle University Library |
continent |
Asia |
country |
Philippines Philippines |
content_provider |
De La Salle University Library |
collection |
DLSU Institutional Repository |
language |
English |
topic |
Music and the Internet Computer crimes Piracy (Copyright) Sound recordings--Pirated editions Intellectual property Wavelets (Mathematics) Digital watermarking Computer security Data protection |
spellingShingle |
Music and the Internet Computer crimes Piracy (Copyright) Sound recordings--Pirated editions Intellectual property Wavelets (Mathematics) Digital watermarking Computer security Data protection Alcontin, Charise Erika C. Carolino, Christine Joy B. Magundayao, Jolly Ann A. Semira, Rodolfo Anthony M. Audio steganography using wavelet transforms for digital audio authentication |
description |
In this paper, a system for detecting copied music files using digital audio steganography is presented. The system has two components: the ASTEG (Audio Steganography) Embedder and the ASTEG Player. The encrypted covert data is embedded into the coefficients of host audio (cover signal) in integer wavelet domain using the ASTEG Embedder, producing a new protected audio signal (stego file). Whenever the stego file is attempted to be accessed through the ASTEG Player, the covert data is retrieved and compared with the existing file properties. When changes are detected with the file property, which is the case when the file is altered or copied, the audio file is flagged as COPIED and will not be accessed by the ASTEG Player. The protected stego signal has a near-original music quality, as proven by the average MOS of -0.2875 (Slightly perceptible but not annoying) and the average SNR of 5.9564 dB for the eight common music genres, BER of 0 (Data was extracted without error) and MSE of 0.3213 (Very minimal error between the original file and stego file). This system is recommended to be incorporated in the music production system and music players in the market to prevent patronage of illegally copied music files. |
format |
text |
author |
Alcontin, Charise Erika C. Carolino, Christine Joy B. Magundayao, Jolly Ann A. Semira, Rodolfo Anthony M. |
author_facet |
Alcontin, Charise Erika C. Carolino, Christine Joy B. Magundayao, Jolly Ann A. Semira, Rodolfo Anthony M. |
author_sort |
Alcontin, Charise Erika C. |
title |
Audio steganography using wavelet transforms for digital audio authentication |
title_short |
Audio steganography using wavelet transforms for digital audio authentication |
title_full |
Audio steganography using wavelet transforms for digital audio authentication |
title_fullStr |
Audio steganography using wavelet transforms for digital audio authentication |
title_full_unstemmed |
Audio steganography using wavelet transforms for digital audio authentication |
title_sort |
audio steganography using wavelet transforms for digital audio authentication |
publisher |
Animo Repository |
publishDate |
2009 |
url |
https://animorepository.dlsu.edu.ph/etd_bachelors/14480 |
_version_ |
1772834936751915008 |