International Journal of Application or Innovation in Engineering & Management
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ISSN 2319 – 4847
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Call for Paper, Published Articles, Indexing Infromation Improved protection in image steganography using neural network and discrete cosine transform, Authors : Lovepreet Kaur and Geetanjali Babbar, International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 3, Issue 11, November 2014

Title:
Improved protection in image steganography using neural network and discrete cosine transform
Author Name:
Lovepreet Kaur and Geetanjali Babbar
Abstract:
ABSTRACT The important concern of modern communication is to establish secret communication and is achieved by steganography. It comes under the assumption that if the feature is visible, the point of attack is evident, thus the all time goal is to conceal the very existence of the embedded data. Many techniques have been suggested to hide data but security is one of the major challenges. In the proposed method this issue has been addressed using Discrete Cosine Transform (DCT) and neural network. Using Discrete Cosine Transform (DCT), input image is divided into blocks and is processed to generate quantization matrix of cover and stego images. The neural network is trained using LSB bit value. On the basis of training and segmentation done, neural network provide efficient positions where data can be merge. Experiments demonstrate that the proposed approach gives better PSNR and MSE value. Keywords:- Steganography, least significant bit, discrete cosine transform, segmentation, quantization matrix, neural network
Cite this article:
Lovepreet Kaur and Geetanjali Babbar , " Improved protection in image steganography using neural network and discrete cosine transform " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 11, November 2014 , pp. 021-026 , ISSN 2319 - 4847.
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