Computational intelligence in steganalysis environment
ISP'08 Proceedings of the 7th WSEAS international conference on Information security and privacy
A review of the audio and video steganalysis algorithms
Proceedings of the 48th Annual Southeast Regional Conference
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A novel blind compressed video stream steganalysis algorithm employing the inter-frame correlation (IFCS) is proposed. The steganalysis process is executed wholly in the compressed domain for the real time requirement. Statistical features of inter-frame correlation, AC coefficients and DC coefficients in DCT domain of compressed video are extracted out as the classifier features using an inter-frame collusion principle. The collusion window is adjusted according to the inter-frame correlation. And one three layers feedforward neural network capable of nonlinear feature mapping is employed as the blind classifier. Experimental results verify the availability of the proposed scheme.