MATEC Web of Conferences
Volume 25, 20152015 International Conference on Energy, Materials and Manufacturing Engineering (EMME 2015)
|Number of page(s)||7|
|Published online||06 October 2015|
Research of Video Steganalysis Algorithm Based on H265 Protocol
School of Mathematics and Computer Science, Jianghan University, Wuhan, Hubei, China
A new generation of video coding standard H265 has raised a public concern by relevant scholars from all walks of life since April 2010. High-definition video is characterized by huge data size, complex encoding structure, high real-time performance and so on. Therefore, to design encryption and decryption pro-gram according to the actual needs and combined with application scenarios is imperative. Video steganalysis algorithm is a key content of video steganalysis (VSA), and VSA is a key technology of video decryption.
This paper researches LSB matching VSA based on H265 protocol with the research background of 26 original Video sequences, it firstly extracts classification features out from training samples as input of SVM, and trains in SVM to obtain high-quality category classification model, and then tests whether there is suspicious information in the video sample. The experimental results show that VSA algorithm based on LSB matching can be more practical to obtain all frame embedded secret information and carrier and video of local frame embedded. In addition, VSA adopts the method of frame by frame with a strong robustness in resisting attack in the corresponding time domain.
Key words: video steganalysis / LSB matching / median filter / characteristic / secret information
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.