I. Introduction
When sending personal data over the internet, data security is crucial. Copyright, ownership, and harmful data identification are all aided by steganography and stegan analysis tools. Steganography, which does not alter the content, is used to conceal sensitive data, and stegan analysis is used to unearth hidden material. In this article, we describe steganography, stegen analysis, and machine learning frameworks. It also demonstrates how the latter can be utilized to uncover buried textual information using steganographic methods. Today, secure communications are established using mathematical models in conjunction with cryptography and steganographic methods. Contrary to popular assumption, encryption only creates cipher text from plaintext, not concealing the existence of the data.