Steganalysis Method Based on Image Class

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Abolhasani, Amir | 2015

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 47196 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Jamzad, Mansour
Abstract:
Steganalysis is the art of detecting hidden message in a cover such as an image. All steganalysis methods either are designed for a specific steganographer or are blind. Since for a stego image, the steganography method is not available, this is important to detect a stego image without any knowledge about the steganography method using which the secret image was embedded. Therefore in order to dominate all steganography method, if a given image is a stego one, we need to use voting over several steganalysis methods applied on the stego image to improve the accuracy of detection. But this approach needs a long time to process that is not practical for most steganalysis applications. We know that every steganalysis method has a different performance for every steganography. So in this thesis we provide a method to select the best steganalysis method by knowingthe class and complexity of input image. Experimental results showed faster and more accurate detection of stego images compared with the conventional steganalysis methods
Keywords:
Steganography ; Steganalysis ; Image Complexity ; Blind Watermarking ; Image Class

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