A review of the audio and video steganalysis algorithms
Proceedings of the 48th Annual Southeast Regional Conference
A video steganalytic algorithm against motion-vector-based steganography
Signal Processing
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Steganalysis, the method to detect steganographically embedded hidden messages in digital data, has received an increasing interest in recent years. Although significant research efforts have been devoted to develop steganaly- sis techniques for still-images, video steganalysis remains largely an explored area. In this paper, we investigate how the temporal correlation in the neighbouring frames of a video sequence can be exploited to improve the video ste- ganalysis performance. The reported experimental results indicate that significant improvement in the detection rate, as high as 30%, can be achieved by exploiting the temporal correlation.