QR code based color image cryptography for the secured transmission of ECG signal

The paper presents a novel QR code based color image steganography to facilitate remote transmission of ECG signal along with patient diagnosis data. The proposed system is configured with two stage security processes, namely pixel permutation and chaos encryption. A three step sequential strategy i...

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Bibliographic Details
Published in:Multimedia tools and applications 2019-03, Vol.78 (6), p.6763-6786
Main Authors: Mathivanan, P., Balaji Ganesh, A.
Format: Article
Language:English
Subjects:
Algorithms
Chaos theory
Codes
Color
Communication
Computer Communication Networks
Computer Science
Cryptography
Data encryption
Data Structures and Information Theory
Echocardiography
Encryption
Engineering
Fourier transforms
Image transmission
Multimedia
Multimedia Information Systems
Permutations
Pixels
Privacy
Special Purpose and Application-Based Systems
Steganography
Wavelet transforms
Wide area networks
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Summary:The paper presents a novel QR code based color image steganography to facilitate remote transmission of ECG signal along with patient diagnosis data. The proposed system is configured with two stage security processes, namely pixel permutation and chaos encryption. A three step sequential strategy is adapted for the implementation of the system. At first, the diagnose information in the form of alphanumeric data is given to QR code generator for the generation of equivalent 2D binary matrix. Similarly, the ECG signal samples are transformed into alphanumeric cipher text by involving integer to binary sequence conversion process and eventually into corresponding QR codes. Secondly, the both diagnose data as well as ECG signal integrated QR codes are embedded within individual R, G and B color image components by using the pixel permutation process. Finally, the color image components, R, B and G are individually encrypted by using 1D chaotic encryption technique as an attempt to enhance further the security of existing steganography process. The experimental results are validated in terms of NCPR, UACI and also entropy which found to be better and comparable than other baseline algorithms.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-018-6471-x