A Method of Detecting Storage Based Network Steganography Using Machine Learning

Abstract

Today, the techniques of network steganography are widely applied. In addition to the outstanding advantages about the ability to hide and transmit secret information, it has a huge disadvantage that is being exploited by hackers to transmit information or communicate with the control host. Network steganography storage method is one of the network steganography techniques that is being much applied. Due to the characteristics of the storage based network steganography are different from other network steganography techniques, the detection of this techniques is difficult. The traditional tools and methods used to detect steganography are difficult to detect the signs of steganographic packets that use this technique. Therefore, in this paper, the authors propose using machine learning to detect abnormal behavior of steganographic packets.