Image Steganography tool using Adaptive Encoding Approach to maximize Image hiding capacity
Manoj Kumar Meena1, Shiv Kumar2, Neetesh Gupta3
1Manoj K Meena is M.Tech student of Technocrats Institute of Technology, Bhopal, India.
2Prof. Shiv Kumar, Asst. Professor, Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P.), India.
3Prof. Neetesh Gupta, Asst. Professor & Head, Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P.), India.
Manuscript received on April 19, 2011. | Revised Manuscript received on April 29, 2011. | Manuscript published on May 05, 2011. | PP: 7-11 | Volume-1 Issue-2, May 2011. | Retrieval Number: A020031111
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the Internet. For hiding secret information in images, there exists a large variety of Steganographic techniques some are more complex than others and all of them have respective strong and weak points. The Least Significant Bit (LSB) insertion method is the most common and easiest method for embedding messages in an image. This paper work intends to give an overview of image Steganography, its uses and techniques along with an attempt to implement a basic image Steganographic model by using an adaptive encoding algorithm which attempts to maximize the embedding capacity of each pixel through LSB insertion method. The Implementation is named StegSan which also uses file compression and data encoding mechanisms to make the image more secure and less detectable.
Keywords: Steganography, LSB Insertion method, adaptive encoding, StegSan approach.