Title :
Block Level Video Steganalysis Scheme
Author :
Kancherla, Kesav ; Mukkamala, Srinivas
Author_Institution :
Inst. for Complex Additive Syst. & Anal. (ICASA), New Mexico Inst. of Min. & Technol., Socorro, NM, USA
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.
Keywords :
discrete cosine transforms; matrix algebra; steganography; video coding; DCT coefficients; block level video steganalysis scheme; consecutive frames pattern noise; difference matrix; discrete cosine transform; feature vector; steganograms; Accuracy; Correlation; Feature extraction; Image coding; Noise; Support vector machines; Vectors; Support Vector Machines (SVM); Video Steganalysis; image pipeline; multimedia forensics; video steganography;
Conference_Titel :
Machine Learning and Applications (ICMLA), 2012 11th International Conference on
Conference_Location :
Boca Raton, FL
Print_ISBN :
978-1-4673-4651-1
DOI :
10.1109/ICMLA.2012.121