Perceptual Digest Function for Verifying Integrity in Audio Forensics

In this work we propose a function that allows to calculate a summary code from the parameters of a voice signal. This function is based on ordering of spectral coefficients obtained by means of the application of the Fast Fourier Transform (FFT), using a locally generated reference function (Gaussi...

Full description

Autores:
Ballesteros L., Dora M.
Renza, Diego
Ortiz, Héctor Duvan
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/13175
Acceso en línea:
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4624
http://hdl.handle.net/10784/13175
Palabra clave:
Hash function
Perceptual hash
Integrity
Audio forensics
Función resumen
Función perceptual
Integridad
Audio forense
Rights
License
Copyright (c) 2017 Dora M. Ballesteros L.; Diego Renza, Héctor Duvan Ortiz
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spelling 2017-05-022018-11-16T16:28:57Z2017-05-022018-11-16T16:28:57Z2256-43141794-9165http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4624http://hdl.handle.net/10784/1317510.17230/ingciencia.13.25.7In this work we propose a function that allows to calculate a summary code from the parameters of a voice signal. This function is based on ordering of spectral coefficients obtained by means of the application of the Fast Fourier Transform (FFT), using a locally generated reference function (Gaussian random noise). The proposed method is oriented to the verification of integrity in forensic voice signals. The proposed methodology has a perceptual approach, which implies that the resulting code is maintained, even when modifications are made, particularly those that do not affect the sensitive content of the signal, such as re-quantization processes.En este artículos se propone una función que permite calcular un código resumen a partir de los parámetros de una señal de voz. Esta función está basada en el ordenamiento de los coeficientes espectrales en un proceso de imitación entre el espectro de la señal de voz y el espectro de una señal de ruido gaussiano generada localmente. El método de función resumen está orientado a la verificación de integridad forense en señales de voz, con un enfoque perceptual, que implica que la función resumen no cambia si la señal sufre modificaciones que no alteran el contenido (como re-cuantización), pero que si cambia ante modificaciones como recorte y adición de ruido. Se realizaron diversas pruebas para verificar el enfoque perceptual del método resumen propuesto y se compararon los resultados frente a modificaciones utilizando métodos tradicionales.application/pdfspaUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4624Copyright (c) 2017 Dora M. Ballesteros L.; Diego Renza, Héctor Duvan OrtizAttribution 4.0 International (CC BY 4.0)http://creativecommons.org/licenses/by/4.0Acceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITIngeniería y Ciencia; Vol 13 No 25 (2017); 167-183Ingeniería y Ciencia; Vol 13 No 25 (2017); 167-183Perceptual Digest Function for Verifying Integrity in Audio ForensicsFunción resumen perceptual para verificación de integridad en audio forenseinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionarticlepublishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Hash functionPerceptual hashIntegrityAudio forensicsFunción resumenFunción perceptualIntegridadAudio forenseBallesteros L., Dora M.Renza, DiegoOrtiz, Héctor DuvanUniversidad Militar Nueva GranadaIngeniería y Ciencia1325167183ing.ciencTHUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/ca907429-2706-46e2-85f8-8f726956d933/downloadda9b21a5c7e00c7f1127cef8e97035e0MD52ORIGINAL7.pdf7.pdfTexto completo PDFapplication/pdf713737https://repository.eafit.edu.co/bitstreams/c9307b0e-4222-4d72-a423-0b2125423524/downloadf0aa0e56c45765f52ca0c4ae25c0b00fMD51articulo.htmlarticulo.htmlTexto completo HTMLtext/html374https://repository.eafit.edu.co/bitstreams/b628fcb4-5492-4bdc-aeee-fdd85e8d5e47/downloadac4b5dd97c75e4518fc755dab4ef0443MD5310784/13175oai:repository.eafit.edu.co:10784/131752020-03-01 17:44:27.589http://creativecommons.org/licenses/by/4.0Copyright (c) 2017 Dora M. Ballesteros L.; Diego Renza, Héctor Duvan Ortizopen.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co
dc.title.eng.fl_str_mv Perceptual Digest Function for Verifying Integrity in Audio Forensics
dc.title.spa.fl_str_mv Función resumen perceptual para verificación de integridad en audio forense
title Perceptual Digest Function for Verifying Integrity in Audio Forensics
spellingShingle Perceptual Digest Function for Verifying Integrity in Audio Forensics
Hash function
Perceptual hash
Integrity
Audio forensics
Función resumen
Función perceptual
Integridad
Audio forense
title_short Perceptual Digest Function for Verifying Integrity in Audio Forensics
title_full Perceptual Digest Function for Verifying Integrity in Audio Forensics
title_fullStr Perceptual Digest Function for Verifying Integrity in Audio Forensics
title_full_unstemmed Perceptual Digest Function for Verifying Integrity in Audio Forensics
title_sort Perceptual Digest Function for Verifying Integrity in Audio Forensics
dc.creator.fl_str_mv Ballesteros L., Dora M.
Renza, Diego
Ortiz, Héctor Duvan
dc.contributor.author.none.fl_str_mv Ballesteros L., Dora M.
Renza, Diego
Ortiz, Héctor Duvan
dc.contributor.affiliation.spa.fl_str_mv Universidad Militar Nueva Granada
dc.subject.keyword.eng.fl_str_mv Hash function
Perceptual hash
Integrity
Audio forensics
topic Hash function
Perceptual hash
Integrity
Audio forensics
Función resumen
Función perceptual
Integridad
Audio forense
dc.subject.keyword.spa.fl_str_mv Función resumen
Función perceptual
Integridad
Audio forense
description In this work we propose a function that allows to calculate a summary code from the parameters of a voice signal. This function is based on ordering of spectral coefficients obtained by means of the application of the Fast Fourier Transform (FFT), using a locally generated reference function (Gaussian random noise). The proposed method is oriented to the verification of integrity in forensic voice signals. The proposed methodology has a perceptual approach, which implies that the resulting code is maintained, even when modifications are made, particularly those that do not affect the sensitive content of the signal, such as re-quantization processes.
publishDate 2017
dc.date.issued.none.fl_str_mv 2017-05-02
dc.date.available.none.fl_str_mv 2018-11-16T16:28:57Z
dc.date.accessioned.none.fl_str_mv 2018-11-16T16:28:57Z
dc.date.none.fl_str_mv 2017-05-02
dc.type.eng.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
article
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1794-9165
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http://hdl.handle.net/10784/13175
dc.identifier.doi.none.fl_str_mv 10.17230/ingciencia.13.25.7
identifier_str_mv 2256-4314
1794-9165
10.17230/ingciencia.13.25.7
url http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4624
http://hdl.handle.net/10784/13175
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.isversionof.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4624
dc.rights.eng.fl_str_mv Copyright (c) 2017 Dora M. Ballesteros L.; Diego Renza, Héctor Duvan Ortiz
Attribution 4.0 International (CC BY 4.0)
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dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv Copyright (c) 2017 Dora M. Ballesteros L.; Diego Renza, Héctor Duvan Ortiz
Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/4.0
Acceso abierto
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dc.format.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.source.none.fl_str_mv instname:Universidad EAFIT
reponame:Repositorio Institucional Universidad EAFIT
dc.source.eng.fl_str_mv Ingeniería y Ciencia; Vol 13 No 25 (2017); 167-183
dc.source.spa.fl_str_mv Ingeniería y Ciencia; Vol 13 No 25 (2017); 167-183
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