Steganography Technique Based on WPT and ElGamal Encryption with Confusion for Robust Medical Image
Sivakumar Karuppan1, Revathy Ondimuthu2, N S Nithya3
1Sivakumar Karuppan, Assistant Professor, Department of CSE, JCT College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
2Revathy Ondimuthu, Assistant Professor, Department of ECE, Hindusthan College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
3Dr. N S Nithya, Associate Professor, Department of CSE, KSR College of Engineering, Tiruchengode (Tamil Nadu), India.
Manuscript received on 14 October 2019 | Revised Manuscript received on 23 October 2019 | Manuscript Published on 02 November 2019 | PP: 2239-2248 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B12460982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1246.0982S1119
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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: For delivering effective health medical images and Electronic Patient Record (EPR) play an important role and these are stored in cloud, remote medical care and tele medicine service. For health care system, all the medical image data are stored in third party a server that is cloud. So, there is more chance to process or change the medical images as well as patient’s records which leads to health-related issues. To prevent the medical details from the hackers, many techniques are proposed and analyzed by the researchers. Anyway, data corruption is done by the attackers till now. In order to improve the security for data, this paper proposes a steganography technique which embed the important details into the medical image by using Wavelet Packet Transform (WPT) without affecting Region of Interest (ROI) which is useful for further diagnosis. Before embedding the patient’s record, these data are encrypted by using ElGamal Encryption technique which provides more security to the data. It is observed from the simulation results that the proposed technique produces better performance in terms of MSE, PSNR and WPSNR values. The PSNR value of the proposed system can increase 8.8%, 6.2%, 12.5%, 9.6%, 6.7% and 6.9% for embedding rate 5%, 10%, 20%, 25%, 30% and 40% respectively from the existing (DWT-ElGamal) technique.
Keywords: Wavelet Packet Transform (WPT), Mean Square Error (MSE), Weighted Peak Signal to Noise Ratio (WPSNR), Electronic Patient Record (EPR), Region of Non-Interest (RONI), Region of Interest (ROI).
Scope of the Article: Image Security