LSB and DCT Steganographic Detection Using Compressive Sensing

The need for preserving secrecy of sensitive data has been ever-increasing with the new developments in digital communication. During the last years, a large number of information in digital form has been exchanged all over the world. Several techniques have been developed in order to protect the users' privacy of digital content. Steganography is one of them. Its use dates back for many centuries, yet it has been used profoundly in the last decades, as the proper mathematical background has been developed along with the need of the music and film industries. This work presents two new detection methods of steganographic content through the use of compressive sensing. The first method is a probabilistic filter that can increase the probability of detecting steganographic content in images, in case where the LSB method is used. The second one helps identifying the original from stego images when DCT steganography is used, after applying a filter with compressive sensing technique.