Video Steganalysis Of Multiplicative Spread Spectrum Steganography
Year: 2014
Type: conference-paper
Abstract: In this paper we propose a video steganalysis method toward multiplicative spread spectrum embedding. We use the redundancies of the video frames to estimate the cover frame and after extracting some features from the video frames and the estimated ones, the received video is classified as suspicious or not suspicious. In the case that the video declared suspicious, we estimate the hidden message and the gain factor used in the embedder. We also propose a new method for estimating the gain factor in multiplicative spread spectrum embedding. Using the estimated hidden message and gain factor, we are able to reconstruct the original video. Simulation results verify the success of our steganalysis method.
DOI: 10.5281/zenodo.44133
Authors: Akhaee, Ali, Zarmehi, Nematollah
Institution: University of Tehran
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1589107253
