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Steganography is the technique of cover up information in another media and protects it from prying eyes. Modern Steganography intends to hide the data in a cover media such as text, digital images, video, audio, to exchange secret message. Communication parties rely on the change in the structure and features of the cover media in such a manner as is not identifiable by prying eyes. However, using the text as the cover medium is relatively difficult as compared to the other cover media. This difficulty is observed because of the lack of redundant information in a text file, as compared to an image, video or a sound clip which contains much redundancy that is exploited by the steganography algorithms. In this paper, we present and evaluate our contribution to design two new approaches for text Steganography and named them as CASE (Capital Alphabet Shape Encoding) and ISET (Indian Script Encoding Technique). These methods are combination of the random character sequence and feature coding method. Here we take two processes in these text steganography approaches. Firstly encode all the characters of the secret message with a new encoding technique base on the classification of the Hindi characters or English characters. Second hide the message in the randomly generated cover text. CASE and ISET reduces the memory consumption and size of cover text used for steganography. In these methods, one letter can hide maximum of eight bits which improves time overhead and memory overhead.
Chaudhary et al. (Tue,) studied this question.