Intelligent Silhouette Wave Steganography (I-SiWaS)
Virag Jagtap, Shraddha S. Pande, Parag A. Kulkarni · CiiT international journal of artificial intelligent systems and machine learning · 2013
In the field of Data Security, Steganography plays an important role. The steganography is basically used to hide the data in file. The audio steganography hides data in the mono or stereo channel of carrier file. There are different types of audio stegaography approaches. LSB Wave Steganography is one of the types of steganography, in which LSB bits of carrier wave file are used to hide data. In standard LSB wave steganography, number of bits under consideration decides the nodes to hide data. But the major problems with this approach are 1.security of hidden data depends on selection of number of bits, 2.also it adds noise in carrier file. Hence there is need for an intelligent and efficient method to find appropriate nodes to hide data. This paper proposes I-SiWaS: a method which intelligently finds noisy nodes to hide data. This in turn removes dependency on selection of number of bits, improves security and reduces the noise. I-SiWaS uses silhouette clustering and Vivaldi for intelligent noisy nodes selection. The results show that, I-SiWaS do not affect the size of carrier wave file and reduces the distortion significantly.