Three Level Security Technique of Image Steganography with Digital Signature Framework

As the usage of internet is increasing rapidly with digitization the main concern in the field of information technology (IT) and communication is security of data. Stegnography is the art and science of invisible communication. This technology conceal a message or an image within another image making it completely hidden that helps in secure transmission of information over insecure channel [1]. Image stegnography works on concept of hiding information exclusively in the form of images. Stegnography and cryptography techniques are used for security dealing with passing of secured information. Cryptography deals with maintain secrecy of content message whereas stegnography aims on maintain the secrecy of message. Data hiding method by improved LSB substitution process [2] which improves the PSNR with respect to image quality and computation work. The stego image quality can be greatly improved with minimum computational complexity by applying LSB image hiding method. The effectiveness of the proposed method is verified experimentally by achieving the balance between the security and the image quality. Exhaustive literature review of different stenographic techniques and their classification of the passed decade [3] highlighting the visual quality of the image provides a guideline for researchers and scientist. A method for hiding information on billboard display is presented [4] for online hiding of information on the output screen on the output screen of the instrument. Private marking system using symmetric key steganographic techniques and LSB techniques is used for hiding the secret information. Babloo Saha and Suchi Sharma [5] compiled research work in the field of stegnography deployed in spatial, transform and compression domain of digital images and conclude that transform domain techniques make changes in the frequency coefficients instead of manipulating the image pixels directly, leading to the minimum level of distortion thus preferred over spatial domain techniques. Framework to support the concept of image stegnography with structural design signature environment is given by Alam and Islam [6]. The experimental work by the author was conducted on smaller domain with a future plan to perform the experiment on standard data sets to test the effectiveness of framework. Arun Kumar et al. [7] proposed two simple fuzzy filters for the removal of impulse and gaussian noise in gray scale and color images. Hsien-Wei-Yang [8] proposed a reversible data hiding algorithm based on interleaving maximum-minimum histogram. In view of the above discussion the present work incorporates a MATLAB scheme for three level secure transmissions of data with digital signature framework.