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Open AccessArticle

Simultaneous Audio Encryption and Compression Using Compressive Sensing Techniques

1
División de Ingeniería y Ciencias Exactas, Universidad Anahuac Mayab, Merida Yucatan 97302, Mexico
2
Mechanical and Electrical Engineering School, Culhuacan Campus, Instituto Politécnico Nacional, Mexico City 04440, Mexico
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(5), 863; https://doi.org/10.3390/electronics9050863
Received: 6 April 2020 / Revised: 14 May 2020 / Accepted: 15 May 2020 / Published: 22 May 2020
(This article belongs to the Section Circuit and Signal Processing)
The development of coding schemes with the capacity to simultaneously encrypt and compress audio signals is a subject of active research because of the increasing necessity for transmitting sensitive audio information over insecure communication channels. Thus, several schemes have been developed; firstly, some of them compress the digital information and subsequently encrypt the resulting information. These schemas efficiently compress and encrypt the information. However, they may compromise the information as it can be accessed before encryption. To overcome this problem, a compressing sensing-based system to simultaneously compress and encrypt audio signals is proposed in which the audio signal is segmented in frames of 1024 samples and transformed into a sparse frame using the discrete cosine transform (DCT). Each frame is then multiplied by a different sensing matrix generated using the chaotic mixing scheme. This fact allows that the proposed scheme satisfies the extended Wyner secrecy (EWS) criterion. The evaluation results obtained using several genres of audio signals show that the proposed system allows to simultaneously compress and encrypt audio signals, satisfying the EWS criterion.
Keywords: extended Wyner secrecy (EWS); compressive sensing (CS); M-sequence; chaotic mixing; Pearson correlation coefficient; UACI; NSCR extended Wyner secrecy (EWS); compressive sensing (CS); M-sequence; chaotic mixing; Pearson correlation coefficient; UACI; NSCR
MDPI and ACS Style

Moreno-Alvarado, R.; Rivera-Jaramillo, E.; Nakano, M.; Perez-Meana, H. Simultaneous Audio Encryption and Compression Using Compressive Sensing Techniques. Electronics 2020, 9, 863.

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