Unveiling the Invisible an In-Depth Analysis of Text Steganography Techniques, Challenges, and Advancement

Text steganography is the art and science of concealing hidden messages inside ordinary text without raising red flags. It's an intriguing field. Because of the increasing dependence on digital communication and the urgent need for secure and confidential information transfer, text steganography has attracted a lot of attention as a dependable means of establishing covert communication and data verification. This work provides a comprehensive review of the most recent results in text steganography, including a variety of approaches, challenges, and possible directions for further research. At the beginning of the article, the idea of text steganography is presented along with its significance for preserving secure communication. It looks at several text steganography methods such as alignment modification, synonym substitution, word order change, and linguistic steganography. Every method is thoroughly discussed, with a focus on the key ideas, benefits, and drawbacks of each. The challenges of text steganography are examined, emphasising resistance and detection. The study looks at comparison and statistical analysis methods for finding concealed messages and research into developing robust steganographic systems that may thwart detection attempts. It also examines the most recent advancements in text steganography, including the use of natural language processing and deep learning to enhance concealment and get around detection challenges.