Special Issue Article Open Access

ECG Steganography Based Privacy Protecting Of Medical Data for Telemedicine Application

Abstract

The project proposes the enhancement of protection system for secret data communication through encrypted data concealment in ECG signals. The proposed encryption technique used to encrypt the confidential data into unreadable form and not only enhances the safety of secret carrier information by making the information inaccessible to any intruder having a random method. After data encryption, the data hider will conceal the secret data into the ECG signal coefficients. Although encryption achieves certain security effects, they make the secret messages unreadable and unnatural or meaningless. This system is still enhanced with encrypt messages using chaos crypto system. This is the reason a new security approach called reversible data hiding arises. It is the art of hiding the existence of data in another transmission medium to achieve secret communication. It does not replace cryptography but rather boosts the security using its obscurity features. Here the discrete wavelet transformation is used to decompose an ECG signal to different frequency sub bands. The data hiding technique uses the LSB replacement algorithm for concealing the secret message bits into the high frequency coefficients. In the data extraction module, the secret data will be extracted by using relevant key for choosing the relevant data to extract the data. By using the decryption keys, extracted text data will be decrypted from encryption to get the original information. Finally the performance of this proposal in encryption and data hiding will be analyzed based on image and data recovery.

N. Suganya,M.Marimuthu

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