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Detection of covert voice-over Internet protocol communications using sliding window-based steganalysis. Published in IET Communications Received on 3rd May 2010 Author(s): Y.F. Huang, S. Tang, Y. Zhang. Outline. Introduction Sliding window-based steganalysis Experimental Results
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Detection of covert voice-over Internetprotocol communications using slidingwindow-based steganalysis Published in IET Communications Received on 3rd May 2010 Author(s): Y.F. Huang, S. Tang, Y. Zhang
Outline • Introduction • Sliding window-based steganalysis • Experimental Results • Conclusion • Reference
Introduction • VoIP steganography • LSB method
Introduction(cont.) • RS(regular singular) algorithm • Jessica Fridrich proposed • F: flipping
Sliding window-based steganalysis • Use formula below to set the length of window.
Sliding window-based steganalysis(cont.) • Using RS method
Sliding window-based steganalysis(cont.) • Getting the optimum detection threshold
Experimental Results • Experiment framework • Intel Xeon 3065 CPU, 2GB memory, and a 1000 MB Ethernet interface card
Experimental Results(cont.) • Comparisons between detection methods
Experimental Results(cont.) • Comparisons between detection time
Conclusion • Sliding RS method provides 64% improvement on the detection time over the conventional RS method. • Sliding RS method is suitable for detecting real-time stego VoIP streams.
Reference • [1] Peticolas, F.A.P., Anderson, R.J., Kuhn, M.G.: ‘Information hiding – a survey’, Proc. IEEE, 1999, 87, (7), pp. 1062–1078. • [2] Artz, D.: ‘Digital steganography: hiding data within data’, IEEE Internet Comput., 2001, 5, (3), pp. 75–80. • [3] Fridrich, J., Goljan, M., Du, R.: ‘Detecting LSB steganography in color and grayscale images’, IEEE Multimedia, 2001, 8, (4), pp. 22–28.