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DOI: 10.14569/IJACSA.2016.071039
PDF

Performance Improvement of Threshold based Audio Steganography using Parallel Computation

Author 1: Muhammad Shoaib
Author 2: Zakir Khan
Author 3: Danish Shehzad
Author 4: Tamer Dag
Author 5: Arif Iqbal Umar
Author 6: Noor Ul Amin

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 10, 2016.

  • Abstract and Keywords
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Abstract: Audio steganography is used to hide secret information inside audio signal for the secure and reliable transfer of information. Various steganography techniques have been proposed and implemented to ensure adequate security level. The existing techniques either focus on the payload or security, but none of them has ensured both security and payload at same time. Data Dependency in existing solution was reluctant for the execution of steganography mechanism serially. The audio data and secret data pre-processing were done and existing techniques were experimentally tested in Matlab that ensured the existence of problem in efficient execution. The efficient least significant bit steganography scheme removed the pipelining hazard and calculated Steganography parallel on distributed memory systems. This scheme ensures security, focuses on payload along with provisioning of efficient solution. The result depicts that it not only ensures adequate security level but also provides better and efficient solution.

Keywords: Steganography; LSB; Steganalysis; Parallel; Pipelining; Processing Efficient; Real time; Security

Muhammad Shoaib, Zakir Khan, Danish Shehzad, Tamer Dag, Arif Iqbal Umar and Noor Ul Amin, “Performance Improvement of Threshold based Audio Steganography using Parallel Computation” International Journal of Advanced Computer Science and Applications(IJACSA), 7(10), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071039

@article{Shoaib2016,
title = {Performance Improvement of Threshold based Audio Steganography using Parallel Computation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071039},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071039},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {10},
author = {Muhammad Shoaib and Zakir Khan and Danish Shehzad and Tamer Dag and Arif Iqbal Umar and Noor Ul Amin}
}



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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