A Study on Machine Learning for Steganalysis
Ki‐Hyun Jung · 2019
Data security is very important when sensitive data are transmitted over the Internet. Steganography and steganalysis techniques can solve the problem of copyright, ownership, and detection malicious data. Steganography is to hide secret data without distortion and steganalysis is to detect the presence of hidden data. In this paper, steganography and steganalysis techniques are described together with machine learning frameworks to show that machine learning framework can be used to detect the secret data hiding in image using steganography algorithms.