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- W2024593304 abstract "In this paper, we present F5 steganographic algorithm and its steganographic system, then we embed 35.5kb information (a txt document) into a 99.7kb JPEG image by using F5 steganographic system. The experimental result shows that when we choose k=3 which is based on utilization rate of the data(R), then the AC coefficients will be changed seldom while the information embedded in the image. The three domains method to steganalysis the stego-images is also analyzed in this paper. Extracting the three domains characteristics on the JPEG images to train the BP neural network classifier, we can set a threshold value to the BP neural network classifier to classify the JPEG images. The experimental results show the method using three domains offers a high accuracy to detect the image whether includes information or not." @default.
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- W2024593304 date "2013-01-01" @default.
- W2024593304 modified "2023-09-26" @default.
- W2024593304 title "Key Technical Analysis on Steganography and Steganalysis" @default.
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- W2024593304 doi "https://doi.org/10.2991/icmt-13.2013.68" @default.
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