New Algorithm for Text in Text Steganography

Abstract

Steganography is a technique to hide secret information in some other data (we call it a cover) without leaving any apparent evidence of data alteration. All of the traditional steganographic techniques have limited information- hiding capacity. They can hide only 10% (or less) of the data amounts of the cover. While much of the recent research in steganography has been on hiding data in images, many of the solutions that for images are more complicated when applied to natural language text as a cover medium. Many approaches to steganalysis attempt to detect statistical anomalies in cover data which predict the presence of hidden information. Natural language cover texts must not only pass the statistical muster of automatic analysis, but also the minds of human readers. This paper present a new algorithm to hide a large amount of text in cover text without effecting the cover, by using many types of pointers ( which are characters can interpreter as invisible character, or as apart of cover. Pointers used as single pointer or set of pointer to represent new single pointer. In this algorithm we can hide more than 40% of the data amounts of the cover.