Block Level Video Steganalysis Scheme

Abstract

In this paper, we propose block level video steganalysis method. Current steganalysis methods detect steganograms at frame level only. In this paper, we present a new steganalysis method using correlation of pattern noise between consecutive frames as feature. First we extract the pattern noise from each frame and obtain difference between consecutive frames pattern noise. Later we divide the difference matrix into blocks and apply Discrete Cosine Transform (DCT). We use the 63 lowest frequency components of DCT coefficients as feature vector for the block. We used ten different videos in our experiments. Our results show the potential of our method in detecting video steganograms at block level.