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ARTICLE
Scrambling Based Riffle Shift on Stego-Image to Channelize the Ensured Data
1 Department of CSE, SASTRA Deemed University, Kumbakonam, India
2 Department of CSE, Viswajyothi College of Engineering and Technology, Kerala, India
3 School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, 613401, India
4 School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India
* Corresponding Author: G. Manikandan. Email:
Intelligent Automation & Soft Computing 2022, 32(1), 221-235. https://doi.org/10.32604/iasc.2022.021775
Received 14 July 2021; Accepted 19 August 2021; Issue published 26 October 2021
Abstract
In recent years information hiding has got much attention as it acts as an alternate option for secured communication. The Secret content would get imbedded with the image using various possible image embodiment techniques, in which the Least Significant Bit (LSB) substitution is one of the preferred content embodiment strategy; however, asserting the quality and the originality of the content embedded image (stego) is yet a grievous concern in the field of Information Security. In this article, a proficient Scrambling Based Haar Wavelet Transform (SBHWT) approach has been sought to ensure the novelty of the stego-image that supports the safe transfer of data over the channel. In this process, the image is scrambled using a Sudoku pattern, and then streams of the secret content are embedded into the image blocks based on the proposals of the Bishop Traversal logic of chess. The content embodiment is attempted using normal LSB substitution and DNA pattern based substitution. Next, the image is descrambled to recover the original image, which is then subjected to Haar wavelet transformation for image resolution reduction. The resultant reduced image is channelized to the recipient and the inverse action of the SBHWT is made in order to get back the secret code stream. The experimental results demonstrate that the projected SBHWT approach is less predictable and exclusive in its pattern.Keywords
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