Secure Transmission Model for Medical Data By using Contourlet Transform for Health Care System
Ramya Rani Kalvakota1, Uma Volety2
1RamyaRani Kalvakota, Pursuing M.Tech, Digital Electronics and Communication Engineering, G. Narayanamma Institute of Technology & Science, Hyderabad.
2Uma Volety, Associate Professor, Department ECE, G.Narayanamma Institute of Technology & Science, Hyderabad.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 27, 2020. | Manuscript published on April 10, 2020. | PP: 113-117 | Volume-9 Issue-6, April 2020. | Retrieval Number: E2928039520/2020©BEIESP | DOI: 10.35940/ijitee.E2928.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Security and Privacy are the major issues for transmission of medical data in a wireless medium. The proposed system used Con Tourlet Transform 2 Level (CTT-2L) Steganography and encryption algorithms for transmission of medical data. The encryption algorithms used are Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA) algorithms. First, the text data is encrypted by using AES and RSA Algorithms and the data which is encrypted is embedded in a cover image using CTT-2L. The cover image is any medical image which can be either colour or grayscale image. Five statistical parameters: Peak-Signal-to-Noise-Ratio (PSNR), Mean Absolute Error (MAE), Mean Square Error (MSE), Structural Similarity (SSIM), Correlation are measured for evaluating the performance of the proposed system. The PSNR is 71.3402 and 64.7453 in colour and grayscale images respectively. The MAE is 0.0019 and 0.0045 in colour and grayscale images respectively. The MSE is 0.0026 and 0.0142 in colour and grayscale images respectively. The SSIM is 0.9999 in both colour and grayscale images. The Correlation is 1.0000 in both colour and grayscale images. The proposed system hides the data with high capacity, imperceptibility and less distortion in the received stego image as compared with the conventional methods.
Keywords: CTT-2L, Encryption, Medical Images, Steganography.
Scope of the Article: Image Processing and Pattern Recognition