No abstract

Steganography is an important area of research in recent years involving a various number of applications. It is the science of embedding information into cover of the media such as text, image, audio, and video. This paper uses two techniques for Steganography (text into image): Least Significant Bit (LSB) and Least Significant Bit with Huffman code (LSB+HUFF). It uses the zigzag scanning for the two methods to increase the security, and compares the results using Peak Signal to Noise Ratio (PSNR). All images used here is a gray scale images to implement the study; what implemented on gray scale image can be applied on colored image.

Steganography is the art of hiding a digital media with another digital media, it is very important to transmit a secret data from place to another because if any one intercept the data during the transmission he can't know if there is a data a data or not. This paper shows a new method to hide a secret data in an image without any bit change of the stego image that means the PSNR value between the original image and stego image equal to Infinity. The size of the secret message that can be hidden in the image is infinity or unlimited. This method based on generating a dynamic symmetric key between the sender and the receiver, it is used for encoding and decoding process and it is derived from the image and the secret message together.

The digital world is growing day by day; many new risks have emerged during the exchange of information around the world; and many ways have evolved to protect the information. In this paper, this paper will conceal information into an image by using three methods that concentrate on the compression of the date before hiding it into the image and then compare the results using Peak Signal to Noise Ratio (PSNR). The three methods that will be used are Least Significant Bit (LSB), Huffman Code, and Arithmetic Coding and then the result will be compared.