Simultaneous Audio Encryption and Compression Using Compressive Sensing Techniques
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; f...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/9/5/863 |
| _version_ | 1797567229089284096 |
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| author | Rodolfo Moreno-Alvarado Eduardo Rivera-Jaramillo Mariko Nakano Hector Perez-Meana |
| author_facet | Rodolfo Moreno-Alvarado Eduardo Rivera-Jaramillo Mariko Nakano Hector Perez-Meana |
| author_sort | Rodolfo Moreno-Alvarado |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T19:38:43Z |
| format | Article |
| id | doaj.art-7b475aa27b50420781fdce52c94f765a |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T19:38:43Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-7b475aa27b50420781fdce52c94f765a2023-11-20T01:28:16ZengMDPI AGElectronics2079-92922020-05-019586310.3390/electronics9050863Simultaneous Audio Encryption and Compression Using Compressive Sensing TechniquesRodolfo Moreno-Alvarado0Eduardo Rivera-Jaramillo1Mariko Nakano2Hector Perez-Meana3División de Ingeniería y Ciencias Exactas, Universidad Anahuac Mayab, Merida Yucatan 97302, MexicoMechanical and Electrical Engineering School, Culhuacan Campus, Instituto Politécnico Nacional, Mexico City 04440, MexicoMechanical and Electrical Engineering School, Culhuacan Campus, Instituto Politécnico Nacional, Mexico City 04440, MexicoMechanical and Electrical Engineering School, Culhuacan Campus, Instituto Politécnico Nacional, Mexico City 04440, MexicoThe 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.https://www.mdpi.com/2079-9292/9/5/863extended Wyner secrecy (EWS)compressive sensing (CS)M-sequencechaotic mixingPearson correlation coefficientUACI |
| spellingShingle | Rodolfo Moreno-Alvarado Eduardo Rivera-Jaramillo Mariko Nakano Hector Perez-Meana Simultaneous Audio Encryption and Compression Using Compressive Sensing Techniques Electronics extended Wyner secrecy (EWS) compressive sensing (CS) M-sequence chaotic mixing Pearson correlation coefficient UACI |
| title | Simultaneous Audio Encryption and Compression Using Compressive Sensing Techniques |
| title_full | Simultaneous Audio Encryption and Compression Using Compressive Sensing Techniques |
| title_fullStr | Simultaneous Audio Encryption and Compression Using Compressive Sensing Techniques |
| title_full_unstemmed | Simultaneous Audio Encryption and Compression Using Compressive Sensing Techniques |
| title_short | Simultaneous Audio Encryption and Compression Using Compressive Sensing Techniques |
| title_sort | simultaneous audio encryption and compression using compressive sensing techniques |
| topic | extended Wyner secrecy (EWS) compressive sensing (CS) M-sequence chaotic mixing Pearson correlation coefficient UACI |
| url | https://www.mdpi.com/2079-9292/9/5/863 |
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