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Transmission and Decryption of the Audio Signal Masked with ECG by FDM Method

Today, the use of these methods as hybrids has provided the motivation to be a solution to important problems, since the existing methods are insufficient at some points in ensuring the security of personal data. In data security, the inability to decrypt and decrypt the signal to be encrypted retro...

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Autores principales: Parlar, I., Almali, M. N., Atan, O., Cabuker, A. C., Silahtar, O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250995/
http://dx.doi.org/10.1007/s40998-022-00517-1
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author Parlar, I.
Almali, M. N.
Atan, O.
Cabuker, A. C.
Silahtar, O.
author_facet Parlar, I.
Almali, M. N.
Atan, O.
Cabuker, A. C.
Silahtar, O.
author_sort Parlar, I.
collection PubMed
description Today, the use of these methods as hybrids has provided the motivation to be a solution to important problems, since the existing methods are insufficient at some points in ensuring the security of personal data. In data security, the inability to decrypt and decrypt the signal to be encrypted retrospectively has always been the subject of research in terms of privacy. At this point, it was preferred to use the electrocardiography (ECG) signal, which is a signal that shows the vital signs of the human body and is also difficult to copy. In the study, firstly, the emulator circuit was obtained by using the mathematical model of the ECG signal. With this obtained signal, the audio signals are masked. The audio signal masked on the transmitter side and the signals providing synchronization were transmitted to the receiver side over a single channel using the frequency division multiplexing (FDM) method. Then, the sliding mode control (SMC) method was chosen for the synchronization of the ECG emulator circuits on the receiver and transmitter side. Histogram, spectral, mean square error (MSE), peak signal to noise ratio (PSNR), key space and key sensitivity, NSCR (number of sample change rate), UACI (unified average changing intensity) and PESQ (perceptual evaluation of speech quality) analyses were used to check the accuracy of the system. These analyses showed that the ECG encoding method has faster unit change, reduces synchronization time, minimizes losses and improves the security of the masked signal compared to other methods sent from two channels. Finally, use of an arrhythmia ECG signal for the synchronization signal on both the transmitter and receiver sides, the synchronization of this signal with the SMC method and the testing of a live audio recording in addition to the conversation, distinguishes the study from other existing studies and reveals its originality.
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spelling pubmed-92509952022-07-05 Transmission and Decryption of the Audio Signal Masked with ECG by FDM Method Parlar, I. Almali, M. N. Atan, O. Cabuker, A. C. Silahtar, O. Iran J Sci Technol Trans Electr Eng Research Paper Today, the use of these methods as hybrids has provided the motivation to be a solution to important problems, since the existing methods are insufficient at some points in ensuring the security of personal data. In data security, the inability to decrypt and decrypt the signal to be encrypted retrospectively has always been the subject of research in terms of privacy. At this point, it was preferred to use the electrocardiography (ECG) signal, which is a signal that shows the vital signs of the human body and is also difficult to copy. In the study, firstly, the emulator circuit was obtained by using the mathematical model of the ECG signal. With this obtained signal, the audio signals are masked. The audio signal masked on the transmitter side and the signals providing synchronization were transmitted to the receiver side over a single channel using the frequency division multiplexing (FDM) method. Then, the sliding mode control (SMC) method was chosen for the synchronization of the ECG emulator circuits on the receiver and transmitter side. Histogram, spectral, mean square error (MSE), peak signal to noise ratio (PSNR), key space and key sensitivity, NSCR (number of sample change rate), UACI (unified average changing intensity) and PESQ (perceptual evaluation of speech quality) analyses were used to check the accuracy of the system. These analyses showed that the ECG encoding method has faster unit change, reduces synchronization time, minimizes losses and improves the security of the masked signal compared to other methods sent from two channels. Finally, use of an arrhythmia ECG signal for the synchronization signal on both the transmitter and receiver sides, the synchronization of this signal with the SMC method and the testing of a live audio recording in addition to the conversation, distinguishes the study from other existing studies and reveals its originality. Springer International Publishing 2022-07-04 2022 /pmc/articles/PMC9250995/ http://dx.doi.org/10.1007/s40998-022-00517-1 Text en © The Author(s), under exclusive licence to Shiraz University 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Paper
Parlar, I.
Almali, M. N.
Atan, O.
Cabuker, A. C.
Silahtar, O.
Transmission and Decryption of the Audio Signal Masked with ECG by FDM Method
title Transmission and Decryption of the Audio Signal Masked with ECG by FDM Method
title_full Transmission and Decryption of the Audio Signal Masked with ECG by FDM Method
title_fullStr Transmission and Decryption of the Audio Signal Masked with ECG by FDM Method
title_full_unstemmed Transmission and Decryption of the Audio Signal Masked with ECG by FDM Method
title_short Transmission and Decryption of the Audio Signal Masked with ECG by FDM Method
title_sort transmission and decryption of the audio signal masked with ecg by fdm method
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250995/
http://dx.doi.org/10.1007/s40998-022-00517-1
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