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...

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Main Authors: Alcontin, Charise Erika C., Carolino, Christine Joy B., Magundayao, Jolly Ann A., Semira, Rodolfo Anthony M.
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Language:English
Published: Animo Repository 2009
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/14480
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Institution: De La Salle University
Language: English
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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
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