This document summarizes research on using machine learning techniques for data security, specifically steganography (hiding secret messages within images). It discusses how machine learning algorithms like support vector machines (SVM) can help smooth distorted images and retrieve lost data after a secret message is hidden within an image. The document reviews several related works applying techniques like least significant bit substitution, artificial immune systems, deep learning models for steganalysis, and hash-based approaches. It concludes that the goal is to develop an application for information security using machine learning algorithms to better handle any data loss during transmission from source to destination.