A Study and Reconsideration on Text-Steganography

Abstract

Steganography is a technique that hides confidential information (which we call cover) in some other data without leaving any clear proof of data manipulation. All traditional steganographic techniques have limited ability to hide information. They can hide only 10% (or less) of the cover data. Although most recent research has focused on hiding data in images, many image solutions are more complex when applied as a cover to natural language text. Different applications are used by different requirements of well-known text steganography algorithms. We require both ultimate hidden and a huge amount of confidential data to be concealed which is defined by a shared petition. There are many approaches in steganography that try to detect statistical discrepancies in coverage in which availability of hidden information is predicted. Writings covering natural language must not only automatically collect analytical data, but also transmit it to the human reader’s minds.