A Robust Coverless Video Steganography Based on the Similarity of Inter-Frames
Laijin Meng, Xinghao Jiang, Tanfeng Sun, Zeyu Zhao, Qiang Xu
Abstract
With a deeper understanding of the security issues in steganography, coverless steganography has become a hotspot due to no modification to the carriers. However, the existing coverless video steganographic algorithms have considered a few types of video attacks. In this paper, a robust coverless video steganography based on the similarity of inter-frames is proposed. First, a public video database is selected and preprocessed to construct a Secret Communication Video Database (SCVD). The similarity score between the first and last frames is calculated for video sorting to utilize the temporal characteristics of videos. After that, the mapping table between the secret information and the SCVD is designed for both senders and receivers. Finally, each secret information segment can be represented by one video sequence in the SCVD according to the mapping table to accomplish the data hiding and extraction. Experimental results show that the proposed method performs much better in capacity, robustness, and security than the state-of-the-art methods. It is worth mentioning that the proposed method overcomes the security issue of transmitting a large amount of auxiliary information in coverless video steganographic algorithms.