An Enhanced Steganographic Model Based on DWT Combined with Encryption and Error Correction Techniques

Abstract

Abstract-Theproblem of protecting information, modification, privacy and origin validation are very important issues and became the concern of many researchers. Handling these problems definitely is a big challenge and this is probably why so much attention directed to the development of information protection schemes. In this paper, we propose a robust model that combines and integrates steganographic techniques with encryption, and error detection and correction techniques in order achieve secrecy, authentication and integrity. The idea of applying these techniques is based on decomposing the image into three separate color planes Red, Green and Blue and then depending on the encryption key we divide the image into N blocks. By applying DWT on each block independently, this model enables hiding the information in the image in an unpredictable manner. The part of the image where information embedded is a key depended and unknown to the intruder and by this we achieve blinded DWT effect. To enhance reliability the proposed model that uses hamming code which helps to recover lost or modified information. The proposed Model implemented and tested successfully.

An Adaptive JPEG Steganographic Scheme Based on Run‐Length Statistical Complexity

“…Transform domain steganography schemes embed the secret data in coefficients transformed by Discrete fourier transform (DFT), Discrete cosine transform (DCT), or Discrete wavelet transform (DWT). Few studies conduct on DFT domain because DFT introduces round off errors [3] . Recently, many transform domain schemes focus on JPEG format that uses DCT to change the sub-image blocks (8×8 pixels) into 8×8 DCT coefficient matrices.…”