Ensuring Security to the Compressed Sensing Data Using a Steganographic Approach
Journal: Bonfring International Journal of Advances in Image Processing (Vol.03, No. 1)Publication Date: 2013-03-30
Authors : A.V. Sreedhanya; K.P. Soman;
Page : 01-07
Keywords : Attacks; Compressed Sensing; Decryption; Encryption; Perfect Secrecy; Security; Sparsity; Steganography; SVD;
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 water mark 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.
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Last modified: 2013-09-27 16:31:58