| In recent years, with the appearance of all kinds of steganography tools, covert communications through the digital multimedia information began to affect the traditional information security system. For the confrontational hiding information technology– Steganalysis technique is quietly appearing. Now, the research of hiding information is mainly based on the static images hidden technology, and has received some encouraging results. Comparing with the technology of the static images hidden, there have been yet some research spaces for video steganography. But digital videos have huge data resources to provide the necessary vector space for the large capacity hiding information.So correspondingly the steganalysis will surely become a hot spot in the field.Firstly this paper has finished the complete analysis for algorithms of video information hiding algorithms using on motion vectors, focusing the embedded capacity in the hiding information, safety for hiding information, and anti-detection capabilities for system, and several other key areas. Secondly, it simulates the algorithms on the MPEG-2 system for video information hiding algorithms, extracts the motion vectors from the video sequence, and analyzes their capacity and safety. Finally according to the results, this paper has designed two steganalysis methods ; the core of one method is the technology of secondary predictive coding. It is decoding the video stream standardly,and prediction coding secondly for the reconstructioned frame sequences using common inter-frame moving prediction algorithms.Comparing with the two results ,wo can judge there is wether or not hiding information in the video by the consistency in the motion areas. The other method is through analyszing the probability distribution of the motion vectors to determine whether there is information embedded.Through th huge video sequences simulation testing, it fully verify the above analysis hiding algorithms feasibility and effectiveness. |
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