文章基本信息

标题：Image Steganography Tool using Adaptive Encoding Approach to Maximize Image Hiding Capacity
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作者：Manoj Kumar Meena ; Shiv Kumar ; Neetesh Gupta 等
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2011
卷号：1
期号：2
页码：7-11
出版社：International Journal of Soft Computing & Engineering
摘要：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.
关键词：Steganography; LSB Insertion method;adaptive encoding; StegSan approach.