Abstract-This research paper proposes a secured, robust approach of information security using steganography. It presents two component based LSB (Least Significant Bit) steganography methods for embedding secret data in the least significant bits of blue components and partial green components of random pixel locations in the edges of images. An adaptive LSB based steganography is proposed for embedding data based on the data available in MSB's (Most Significant Bits) of red, green, and blue components of randomly selected pixels across smooth areas. A hybrid feature detection filter is also proposed that performs better to predict edge areas even in noisy conditions. AES (Advanced Encryption Standard) and random pixel embedding is incorporated to provide two-tier security. The experimental results of the proposed approach are better in terms of PSNR and capacity. The comparison analysis of output results with other existing techniques is giving the proposed approach an edge over others. It has been thoroughly tested for various steganalysis attacks like visual analysis, histogram analysis, chi-square, and RS analysis and could sustain all these attacks very well.
In REF , M. Juneja et al., proposed a secure methods of information security using steganography, the first method embeds In the LSB of the blue components partial green components of random positions in the edges of the green component, the second method is an adaptive method that uses the data of the MSB of the red, green and blue components to embed the message in the random pixels across smooth areas, the third method is a hybrid feature detection filter that predicts the edges in noisy conditions.
A New Approach for Information Security using an Improved Steganography Technique
JIPS
JIPS
Computer Science