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Call for Paper - May 2015 Edition
IJCA solicits original research papers for the May 2015 Edition. Last date of manuscript submission is April 20, 2015. Read More

A Robust Method for Image Steganography based on Chaos Theory

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International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 113 - Number 4
Year of Publication: 2015
Authors:
Anoop Kumar Tiwari
Ajay Rajpoot
K. K. Shukla
S. Karthikeyan
10.5120/19817-1637

Anoop Kumar Tiwari, Ajay Rajpoot, K K Shukla and S Karthikeyan. Article: A Robust Method for Image Steganography based on Chaos Theory. International Journal of Computer Applications 113(4):35-41, March 2015. Full text available. BibTeX

@article{key:article,
	author = {Anoop Kumar Tiwari and Ajay Rajpoot and K. K. Shukla and S. Karthikeyan},
	title = {Article: A Robust Method for Image Steganography based on Chaos Theory},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {113},
	number = {4},
	pages = {35-41},
	month = {March},
	note = {Full text available}
}

Abstract

The Internet provides very economical real-time communications between computers and delivers services/products almost instantly to the users. The sensitive data transmitted through the internet must be secured as it is growingly susceptible to security related problems such as eavesdropping, malicious interventions etc. The steganography is an alternative to cryptographic techniques for secured transmission of data over the internet, where the secret message is hidden in some other innocuous communication so that only the rightful recipient can able to detect the presence of the secret message and extract it. Recently, many data embedding schemes have been proposed for achieving the robustness of this technique. However, most of the schemes lack to strike a tradeoff between the embedding capacity and the visual quality. In this paper, we have proposed a new method for hiding messages in a color image in the spatial domain based on chaos theory, which uses chaotic maps to embed data. This method is robust as well as has the higher payload capacity and compression resistant.

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