An Overview of Image Steganography and Steganalysis based on Least Significant Bit (LSB) Algorithm

Abstract

Since the last one decade, the era of information like the new thing in IT is increasing day by day; hence, secret communication over the device has become the most important issue in today's communication systems.  Due to increasing mode of digital communication and enhancing digital communication, security has become very important subject for researchers. There are so many security techniques are exist, but among them, steganography is a method to hide the existing secret message of the end-users in a carrier without being apprehended by the intruders. So now it is very important to develop a mechanism to hide communicator's message in digital media, so the intruders apprehend that passing message.  There are so many mechanisms are available for hiding digital media data, but the image steganography method with the least significant bit substitution is a new approach. So now, this methodology can be used to put into LSB pictures where every pixel is the stand-in for four bytes to demonstrate the potency of that pixel. This effort exhibits more productive consequences, mainly the volume of that data- bit to be concealed regarding the connection to the LSB figure pixels.

Under this plank, the Most Significant Bits (MSB) of the confidential information to be concealed in the form of an image is reserved in the Least Significant Bits (LSB) of the portrayal utilized as in the cover picture. It is also familiar that the above pixels in a portrayal are kept in the shape of the bits. In the monochrome portrayal, the potency of every pixel is reserved in eight bits (1-byte). Correspondingly, for a color (R-Red, G-Green, B-Blue) picture, every pixel needs twenty-four bits, eight bits for each surface