期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：21
页码：3504-3513
出版社：Journal of Theoretical and Applied
摘要：In this paper, we propose the method of detecting video steganography based on the blind spot. Accordingly, our method will use the calibration method to pre-process image frames and the SVM supervised learning algorithm to classify images containing information. The difference between our research and the traditional methods are in two factors: i) for the calibration method, we use the correlation technique between space and time factors to calibrate in order to seek the frames that are most similar to the original ones; ii) For the feature extraction method, we use DCT and Markov techniques to extract the features of the frames that are calibrated and the original frames. The experimental results of the method (in section 4) demonstrate that our proposed technique is more effective than traditional approaches.
