A Novel Adaptive Steganographic Technique Using Kohonen Neural Network Based on Integer Wavelet Transform
Steganography allows one to hide desired confidential information in a covered or host image while image encryption is decomposing the desired information to a non-readable, non-comprehended manner. Steganography gained importance in the past few years due to the increasing need for providing secrecy in an open environment like the internet. This is made possible by hiding the very existence of the message and make communication undetectable. Steganography is the science of secret message delivery using cover media and has many technical challenges such as high hiding capacity and security. In this paper, a method is proposed to optimize these two requirements by suggesting a novel technique for hiding data in digital images.