Abstract: Data Mining Techniques have been deployed in extracting solutions for Business problems. This paper is an attempt to explore the world of Data Mining techniques and how it can be effectively used in the field of Text Steganography for Information Exchange. This paper explores various DM Techniques like Clustering, Classification, Machine Learning, and Neural Networks to get an insight into the effectiveness of these techniques. This paper proposes an algorithm titled “K-Means Text Steganography” which uses k-Means clustering for embedding Text in Text. This algorithm has been found to be satisfying performance parameters like Similarity Measure and Embedding Capacity.

Keywords: Text Steganography, k-Means Clustering, Embedding Capacity, Similarity Measure, Machine Learning, Neural Networks, Classification, Data Mining Techniques, Information Exchange.