An Adaptive Video Digital Steganography Algorithm

DOI

10.2991/jimec-17.2017.77How to use a DOI?

Keywords

Digital steganography; Adaptive algorithm; System Security.

Abstract

In this paper, we propose an adaptive video digital steganography algorithm, it mainly includes information steganography and information extraction of two parts. Information steganography is mainly includes three steps, first to split video file into the I frame, B&P frame. Second we divide B&P frame into 16ž16 block, choose the big macro block of motion vector as secret information embedding location, at the same time divide I frame into 8ž8 block, select the texture region as the location of the control information steganography. Third, embed secret information in B&P frame, embed control information in I frame. The control information is occurring in the process of secret information embedding position information and number of embeded frame, etc. Extract part of the algorithm, first split the video file into I frame, B&P frame. Then, we divide I frame into 8ž8 block and extract the control information in the texture region. Third, we extract the secret information in the B&P frame by the corresponding position embedding algorithm and control information. The algorithm is effective to solve the problems of greater influence on the quality and small embedded capacity. The algorithm not only has strong adaptability, but also can greatly improve the security of the system.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guangqi Liu
AU  - Lianhai Wang
AU  - Shuhui Zhang
AU  - Shumian Yang
AU  - Qiuxiang Guo
PY  - 2017/10
DA  - 2017/10
TI  - An Adaptive Video Digital Steganography Algorithm
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 350
EP  - 353
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.77
DO  - 10.2991/jimec-17.2017.77
ID  - Liu2017/10
ER  -