Work place: YMCA University of Science and Technology, Faridabad, 121006, India
E-mail: rinkusharma1466@gmail.com
Website:
Research Interests: Artificial Intelligence, Computer Architecture and Organization, Image Processing
Biography
Mr. Rinku Sharma is B.Tech (Electronics and Communication Engineering) and M.Tech (Electronics and Communication Engineering) from YMCA University of science & Technology, Faridabad, India. His academic interests include Image Processing, Encryption, Steganography and Artificial intelligence.
By Rinku Sharma Reema Ganotra Sangeeta Dhall Shailender Gupta
DOI: https://doi.org/10.5815/ijcnis.2018.09.04, Pub. Date: 8 Sep. 2018
Confidentiality calls for substantial research and development in network security and data communication. Several techniques have been proposed for the past decades to ensure secure and confidential transmission of data. Steganography is a significant method of hiding data in another media, such that it is physically and virtually invisible. It is used primarily to ensure secure communication in an indiscernible fashion so that the hidden information is not discovered at any stage. The goal is to hide the presence of secret information rather than the contents of information to avoid breaching of data confidentiality. This paper is an effort to bring about a comparison of some of the recent techniques used for steganography on the basis of embedding capacity and Peak signal to noise ratio (PSNR), Universal image quality index (UIQI), Number of pixel change rate (NPCR) and correlation. The performance metrics undertaken are robustness, security analysis and perceptual quality. The techniques were implemented in MATLAB 2013a v 8.1.0.604.
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