Image Steganography Technique based on Canny Edge Detection and Hamming Code for Medical Data
Sheelavathy1, Hamsavani. R2, Disha J3, Bhavana C4, Bhoomika Rathod5
1Sheelavathy, School of C & IT, REVA University, India.
2Hamsavani R, School of C & IT, REVA University, India.
3Disha J, School of C & IT, REVA University, India.
4Bhavana C, School of C & IT, REVA University, India.
5Bhoomika Rathod, School of C & IT, REVA University, India.
Manuscript received on 04 June 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 29 June 2019 | PP: 23-25 | Volume-8 Issue-5S, May 2019 | Retrieval Number: E10050585S19/19©BEIESP
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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: Image steganography has major role in enhancing the confidentiality of sensitive information related to business information, research data, and health record data and so on. Here the sensitive data considered is Medical data. When the medical image is transmitted through in secure public network, there are chances for medical images to be tampered. To avoid intruders in viewing the sensitive data i.e. Medical information the need of hiding it becomes the foremost criteria. This project mainly aims at enhancing medical integrity. To achieve medical integrity, it is required to hide the medical information within a cover image which is the medical image here. The proposed system aims at providing high security of data integrity by using cryptography along with steganography. The method of digital steganography is involved in the transfer of high imperceptible method that enhances the hiding of Electronic patients record (EPR) into medical images without major modification in the data transfer. It is predominantly required to protect and enhance the security methods ensures that the eavesdroppers will not have any suspicion that medical image or sensitive medical data is hidden in that image.
Keywords: Digital Steganography, Electronic Patients Record (EPR), edge-Detection, XOR, Medical Data.
Scope of the Article: Data Mining