Perceptual Digest Function for Verifying Integrity in Audio Forensics

Authors

DOI:

https://doi.org/10.17230/ingciencia.13.25.7

Keywords:

Hash function, perceptual hash, integrity, audio forensics

Abstract

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. 

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Author Biography

  • Dora M. Ballesteros L., Universidad Militar Nueva Granada

    Programa de ingeniería en Telecomunicaciones

    Docente Asistente

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Published

2017-05-02

Issue

Vol. 13 No. 25 (2017)

Section

Articles

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How to Cite

Ballesteros L., D. M., Renza, D., & Duvan Ortiz, H. (2017). Perceptual Digest Function for Verifying Integrity in Audio Forensics. Ingeniería Y Ciencia, 13(25), 167-183. https://doi.org/10.17230/ingciencia.13.25.7

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