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Bernoulli's Chaotic Map-Based 2D ECG Image Steganography: A Medical Data Security Approach
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Author(s): Anukul Pandey (Dumka Engineering College, India), Barjinder Singh Saini (Dr. B. R. Ambedkar National Institute of Technology, India), Butta Singh (Guru Nanak Dev University, India)and Neetu Sood (Dr. B. R. Ambedkar National Institute of Technology, India)
Copyright: 2019
Pages: 34
Source title:
Medical Data Security for Bioengineers
Source Author(s)/Editor(s): Butta Singh (Guru Nanak Dev University, India), Barjinder Singh Saini (Dr. B. R. Ambedkar National Institute of Technology, India), Dilbag Singh (Dr. B. R. Ambedkar National Institute of Technology, India)and Anukul Pandey (Dumka Engineering College, India)
DOI: 10.4018/978-1-5225-7952-6.ch011
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Abstract
Signal processing technology comprehends fundamental theory and implementations for processing data. The processed data is stored in different formats. The mechanism of electrocardiogram (ECG) steganography hides the secret information in the spatial or transformed domain. Patient information is embedded into the ECG signal without sacrificing the significant ECG signal quality. The chapter contributes to ECG steganography by investigating the Bernoulli's chaotic map for 2D ECG image steganography. The methodology adopted is 1) convert ECG signal into the 2D cover image, 2) the cover image is loaded to steganography encoder, and 3) secret key is shared with the steganography decoder. The proposed ECG steganography technique stores 1.5KB data inside ECG signal of 60 seconds at 360 samples/s, with percentage root mean square difference of less than 1%. This advanced 2D ECG steganography finds applications in real-world use which includes telemedicine or telecardiology.
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