Abstract
Any Universal Steganalysis algorithm developed should be tested with various stego-images to prove its efficiency. This work is aimed to develop a tool to build the stego-image database which is obtained by implementing various RGB based Least Significant Bit Steganographic algorithms. Though there are many stego-images sources available on the internet it lacks in the information such as how many rows has been infected by the steganography algorithms, how many bits have been modified and which channel has been affected. These parameters are important for Steganalysis algorithms to rate its efficiency. For the experiments conducted using proposed method, Stego-Image Image Generator Tool, images are chosen from board categories such as animals, nature, person etc to produce variety of Stego-Image. The proposed Stego-Image Generator (SIG) has been compared with various Stego-tools against various parameters to prove its efficiency.
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Thiyagarajan, P., Aghila, G., Prasanna Venkatesan, V. (2011). Stego-Image Generator (SIG) - Building Steganography Image Database. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Advances in Digital Image Processing and Information Technology. DPPR 2011. Communications in Computer and Information Science, vol 205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24055-3_27
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DOI: https://doi.org/10.1007/978-3-642-24055-3_27
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