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DOI: 10.14569/IJACSA.2013.040729
PDF

A Hybrid Model for Secure Data Transfer in Audio Signals using HCNN and DD DWT

Author 1: B. Geetha vani
Author 2: Prof. E. V. Prasad

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 7, 2013.

  • Abstract and Keywords
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Abstract: In today’s world, there are a number of cryptographic and steganography techniques used in order to have secured data transfer between a sender and a receiver. In this paper a new hybrid approach that integrates the merits of cryptography and audio steganography is presented. First, the original message is encrypted using chaotic neural network and the resultant cipher text is embedded into a cover audio using Double Density Discrete Wavelet Transform (DD DWT). The resultant stego audio is transmitted to the receiver and the reverse process is done in order to get back the original plain text. The proposed method presents a Steganography scheme along with the cryptography scheme which enhances the security of the algorithm.

Keywords: Cryptography; Hopfield Chaotic Neural Network; Audio Steganography; Double Density Discrete Wavelet Transform.

B. Geetha vani and Prof. E. V. Prasad, “A Hybrid Model for Secure Data Transfer in Audio Signals using HCNN and DD DWT” International Journal of Advanced Computer Science and Applications(IJACSA), 4(7), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040729

@article{vani2013,
title = {A Hybrid Model for Secure Data Transfer in Audio Signals using HCNN and DD DWT},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040729},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040729},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {7},
author = {B. Geetha vani and Prof. E. V. Prasad}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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