Steganalysis On Video

Video data hiding has become the focus of information hiding recently, and kinds of algorithms have appeared. The supervisal to video steganography for preventing the illegal use of video steganography has been an important content of national security. Video steganalysis is the attack to the video steganography, which can solve problem of supervisal. In this paper, video steganalysis based on videos was discussed. The main contributions can be summarized as follows:1. Video steganography and steganalysis are investigated. The theory and characteristics of video hiding is introduced. Based on the classification of the existing video hiding algorithms, a conclusion that video coding would become the future orientation of video hiding is obtained. Then, video detection algorithms are classified, the actuality of which is concluded, and the problem in video steganalysis needed to be solved are pointed out.2. A video detection algorithm based on the frame reconstructure is proposed to detect the spread spectrum video data hiding. The theory and characteristics of spread spectrum steganography are analyzed and the technique of adaptive neighborhood is adopted to reconstruct the video. The difference between video and its reconstruct video is extracted as the feature for detection. Finally, KNN classifier is devised and the experiment is taken, the results of which shows that the algorithm can detect the video spread spectrum steganography effectively.3. A detection algorithm to attack the steganographic algorithm based on Motion vector (MV) is prevented. The steganographic algorithm based on MV is analyzed. Considering the time change of MV, the random sequence of MV is defined and the statistics got by frequency test and run test are used as the feature in frame of MV. Referring to the spatial change of MV, the mode of binary structure of MV is defined and the mutual information between neighbor frames is extracted as the feature between frames. Finally, based on the features extracted, a detection algorithm is devised and the experiment show the steganography based on MV can be detected effectively.Finally, the work of this paper is concluded. The further research topics about video hiding detection technique are outlined, and the research directions in future are discussed.