Hybrid DNA Chaos Based Steganography on ECG Signal for Secured Data Communication

Abstract

One of the principal issues in data sharing is security. Data being transferred on the internet is prone to severe attacks. Securing data is kind of digital privacy measures that are implemented to prevent the data to be hacked by unauthorized person while sharing the information over the communication network. Data may be of any form like image, signal or text. Encrypting the data before being transmitted is one step taken to promote security which is the well-known process of cryptography. Steganography deals with hiding the message in any unknown format. Combination of these methods turns to be more secure. A hybrid DNA hyper chaotic based algorithm with lifting wavelet technology to secure ECG signal is proposed here. The wavelet technique that decomposes the image into four bands namely LL, LH, HH, HL. To remove the redundancies the coefficients are utilised in the encoder process. The data hiding is implemented by selective embedding process is introduced in this method by determine host signal samples. The encrypted data then is hidden inside image using DNA method logically. When one knows and tries to get the hidden data they require the secret key to do so and any mistake in that leads to distortion of the signal which results in loss of data. This method is found to be secure and the simulation is done using MATLAB. A GUI is developed to choose the required ECG signal and other operations to embed the data and find the original signal after retrieval.