2012/06/12 by P. Thiyagarajan, Thiyagarajan, P., G. Aghila +3 · 1 citation
Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #cs.CR
paper · pdf · doi:10.48550/arxiv.1206.2586
First International Conference on Digital Image Processing and Pattern Recognition, Springer (LNCS) in Communications in Computer and Information Science (CCIS) Series, ISSN: 1865:0929, September 2011
arxiv created 2012/06/12 · arxiv updated 2012/06/13
Any Universal Steganalysis algorithm developed should be tested with various stego-images to prove its efficiency. This work is aimed to build the stego-image database which is obtained by implementing various RGB 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 and it helps to rate its efficiency. Images are chosen from board categories such as animals, nature, person to produce variety of Stego-Image.