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Reseach Article

Secure Information Transmission using Steganography and Morphological Associative Memory

by Sara Nazari, Amir-masoud Eftekhari, Mohammad Shahram Moin
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 7
Year of Publication: 2013
Authors: Sara Nazari, Amir-masoud Eftekhari, Mohammad Shahram Moin
10.5120/9940-4572

Sara Nazari, Amir-masoud Eftekhari, Mohammad Shahram Moin . Secure Information Transmission using Steganography and Morphological Associative Memory. International Journal of Computer Applications. 61, 7 ( January 2013), 23-29. DOI=10.5120/9940-4572

@article{ 10.5120/9940-4572,
author = { Sara Nazari, Amir-masoud Eftekhari, Mohammad Shahram Moin },
title = { Secure Information Transmission using Steganography and Morphological Associative Memory },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 7 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 23-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number7/9940-4572/ },
doi = { 10.5120/9940-4572 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:08:28.296221+05:30
%A Sara Nazari
%A Amir-masoud Eftekhari
%A Mohammad Shahram Moin
%T Secure Information Transmission using Steganography and Morphological Associative Memory
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 7
%P 23-29
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a new steganography algorithm based on Morphology associative memory. Often, steganalysis methods are created to detect steganography algorithms using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). In this paper, cover images are mapped to morphological representation by using morphology transform containing morphological coefficients, and each bit of secret message is inserted in the least significant bit of morphological coefficients. To evaluate stego quality, we measure the quality of the cover image after embedding by comparing with other image transformed steganography algorithms such as discrete cosine and Wavelet transforms. The quality of stego has considerably improved in comparison with the state-of-art methods. In the other experimentation, we test the robustness of our proposed method by using Wavelet and Block-based steganalysis methods. The results show a high level of robustness of our algorithm respect to other steganography algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Security Steganography Morphological Associative Memory Steganalysis Image Complexity