The defense researchers have started concentrating on the infowars, which now has become a new plausible area of interest in the electronic epoch. Valuable secret information could be sabotaged, manipulated or even sold thereby, posing a threat to the very essence of confidentiality. Steganography has been playing a remarkable role in prevention of info-sabotage by adopting a principle of undetectable secret sharing. This technique camouflages the secret data into an unsuspecting image, thereby protecting the very existence of it. The security can be enhanced by cleverly embedding the data, taking care not to affect the quality of the image, along with a random choice of ‗plane of embedding', in case of a colour image. The MSE can be decreased by using Optimal Pixel Adjustment Process, thereby making the secret information more secure and conceited. In this paper the Optimum Pixel Adjustment Process (OPAP) coupled with Pixel Indicator (PI) technique and Pixel value differencing (PVD) in the colour image, is proposed for enhanced stego-image quality and fortified security. The colour cover image, split into three layers namely Red, Blue and Green, act as an embedding platform by adapting Raster scan. While embedding, PI technique, followed by PVD is used to decide the number of bits embedded in a target pixel and finally OPAP technique is employed to enhance the image quality. In order to prove the efficiency of the proposed composite stego, Mean square error (MSE),and Peak Signal to Noise Ratio (PSNR) of the stego image have been reported.

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Information security has been a major concern with the striking advancement in communication and information techniques. Details of significance such as corporate data, secret message and private details have to be shielded from any unauthorized handling or spiteful approaches. Protection of such valuable information over insecure networks can be accomplished by monitoring or filtering of all packets in the data hiding technology. Images can be used for covert sharing of data. Any type of data can be practically hidden inside any image, without detectably affecting the quality of the image. This can be done by substituting some information of the image with the secret information in carefully chosen ways. The image can then be sent by electronic mail, where it appears as a casual attachment. The receiver can get the secret data by applying reverse transform. Hardware modeling of this process can impart portability and improve the speed of the same. This paper discusses the design and analysis of prototype hardware to perform secret sharing using 2-D Image Processing.

Digital Crime is the latest terrorist who can intrude into any domain by breaking any type of firewall or secret code without frittering even a single drop of blood. To fight this terror, a cryptic army was evolved but not good enough to succeed. As a consequence, an effective commando namely steganography has been evolved who can combat any type of destructive intrusion. In this paper, Space Filling Curve (SFC) and RBG colour compound stego action against the threat of digital crime has been proposed. The proposed stego system scans the colour image pixel by pixel along a complex path, not row by row, and hides the variable k bit of the secret data in each pixel visited in the order defined by a Space-Filling Curve (SFC) such as the Hilbert curve and the Moore curve traversing paths. Such curves visit each pixel in the color image which is split into Red, Green and Blue components. The effectiveness of the proposed stego system has been estimated by computing bit error rate (BER), Mean square error(MSE),Peak Signal to Noise Ratio (PSNR) and Mean Structural Similarity index(MSSIM). This paper also illustrates how security has been enhanced using this algorithm.

Information is considered as the most valuable resource in today's data-centric world. In recent times there has been a prodigious growth in information transmission. Parallel to it the data hiding techniques have also developed to sustain information authentication and confidentiality. Traditionally data was hidden in covers such as text, images and audio. But, all these enclosed the data before transmission, thereby creating a necessary evil of time lag between information origination and information transmission. This paper proposes a novel steganographic methodology to overcome the drawback with the help of modern multiplexing technology. Here the physical layer of the Orthogonal Frequency Division Multiplexing (OFDM) is used to embed data. Observations are made by testing this methodology along with Additive white Gaussian Noise and random noise. The experimental results validate the superiority of this data hiding scheme, while retaining the normal functionality of the OFDM technique. This just-in-time data hiding method works well in random noise channel and AWGN channel and the result are presented. General TermsInformation Security.

Binary images, like cartoons, text documents, signatures captured by signing pads and/or 2-color images are very commonly used in our daily life. The JPEG compression method which was designed to efficiently compress color images do not do a good job on a monochromatic (binary) image. Changing the pixel values in these images for hiding the data, may produce a noticeable change in the cover media. Embedding capacity and preservation of visible artifacts are the potential problems of this technique. This paper proposes several methods for hiding data in binary images (including fax). The proposed algorithms alter pixels of the embeddable blocks of cover image depending on the characteristic values of the block. In addition, the new algorithm deals with statistical embedding for each block, which enhances the security of embedded data and the capacity of the embedding method. The performances of the algorithms are tested over various sizes of binary cover images by embedding various sizes of secured data. The effectiveness of the stego process proposed has been studied by estimating the number of errors, Bit error rate and Relative entropy.

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