Transmission and Decryption of The Audio Signal Masked with ECG By FDM Method

Autor: I. Parlar, M. N. Almali, O. Atan, A. C. Cabuker, O. Silahtar
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Popis: Today,the use of these methods as hybrids has provided the motivation to be asolution to important problems, since the existing methods are insufficient atsome points in ensuring the security of personal data. In data security, theinability to decrypt and decrypt the signal to be encrypted retrospectively hasalways been the subject of research in terms of privacy. At this point, it waspreferred to use the electrocardiography (ECG) signal, which is a signal thatshows the vital signs of the human body and is also difficult to copy. In thestudy, firstly, the emulator circuit was obtained by using the mathematicalmodel of the ECG signal. With this obtained signal, the audio signals aremasked. The audio signal masked on the transmitter side and the signalsproviding synchronization were transmitted to the receiver side over a singlechannel using the frequency division multiplexing (FDM) method. Then, thesliding mode control (SMC) method was chosen for the synchronization of the ECGemulator circuits on the receiver and transmitter side. Histogram, spectral,mean square error (MSE), peak signal to noise ratio (PSNR), key space and keysensitivity, NSCR (number ofsample change rate),UACI (unified average changing intensity) and PESQ (perceptual evaluation of speech quality) analyzes were used to check theaccuracy of the system. These analyzes showed that the ECG encoding method hasfaster unit change, reduces synchronization time, minimizes losses and improvesthe security of the masked signal compared to other methods sent from twochannels. Finally, use of an arrhythmia ECG signal for the synchronizationsignal on both the transmitter and receiver sides, the synchronization of thissignal with the SMC method and the testing of a live audio recording inaddition to the conversation, distinguishes the study from other existingstudies and reveals its originality.
Databáze: OpenAIRE