Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
Publication Type : Journal Article
Thematic Areas : Center for Computational Engineering and Networking (CEN)
Publisher : Bonfring International Journal of Advances in Image Processing
Source : Bonfring International Journal of Advances in Image Processing, Volume 3, Number 1 (2013)
Url : http://www.journal.bonfring.org/papers/aip/volume3/BIJ-10137.pdf
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Computer Science, Electronics and Communication
Verified : Yes
Year : 2013
Abstract : This paper focuses on the strength of combining cryptography and steganography methods to enhance the security of communication over an open channel.Here the data to be send are secured by using the compressive sensing method and the Singular Value Decomposition (SVD) based embedding method. The data is encrypted using the compressive measurements of the data and the resultant data is embedded in the cover object using the SVD based watermark embedding algorithm. This approach helps to send the secret data after hiding in a cover image. The compressive sensing method helps to compress and encrypt the data in a single step. The proposed system provides more security to the compressed data. This scheme significantly reduces the attacks. This method is very useful to hide the secret images. The results demonstrate that the proposed system is highly efficient and robust
Cite this Research Publication : A. .V.Sreedhanya and .P.Soman, K., “Ensuring security to the compressed sensing data using a steganographic approach”, Bonfring International Journal of Advances in Image Processing, vol. 3, 2013.