Image hiding technique based on similarity measure for networks with high security risk

As we know that, the process of hiding information behind any one of the multimedia elements is called steganography. It is used in many areas where the security risk is very high. The normal encryption and decryption mechanisms will improve the security but anyone can break the security by analyzing the secret information. Where in steganography the hacker may not know whether the information is hidden or not. Thus steganography is better than encryption in many situations. In the past lot of steganography algorithms have been proposed. But still those algorithms are not providing perfect solutions. In this paper we proposed a new way of steganography. The idea behind our proposed method is, the cover image will be altered based upon the secret image. The secret image will be split into number of blocks and these blocks will be shuffled intellectually and then it will be merged with the cover image to generate the Segno image. Our proposed method, originally designed for dealing with color images, but also be extended to for grayscale images. Experimental results show that our proposed method improves the security and makes the information hacking hard.