Information security A random image steganography perspective

Abstract

The depth of exploitation of the electromagnetic spectrum for connecting people newlinehas reached a new pinnacle with the name internet which has equally increased the newlinespectrum of demand for secrecy. In this context, steganography plays a key role in secret newlinecommunication to hide not just information, but the communication itself. The major goal newlineof steganography is to enhance the communication secrecy by infixing the secret message newlineinto the cover media namely gray and colour image. In this thesis, the process of newlineembedding the encrypted secret message in the digital image has been carried out both in newlinethe spatial and frequency domains with appropriate mathematical models. In spatial newlinedomain, the implemented random image stego system scans the colour and gray scale newlineimage, pixel by pixel along a complex path and hides secret data in the k bit of each pixel newlinevisited in the order defined by different types of space-filling curves (Moore and Hilbert), newlinemagic square, pulli kolam and tri-layer approach to improve the complexity of secrecy. In newlineaddition, an adaptive random and k-bit embedding approach namely Adaptive Random newlineInverted Pattern (ARIP) has been implemented to enhance the quality of the stego image. newlineThe random k-bit embedding stego method based covered writing has been implemented newlinewith an aim of achieving higher imperceptibility, payload, optimized key length and newlinemammoth complexity against hackers by significantly considering the nature of the secret newlinetext. In the frequency domain, an adaptive random image steganography using Integer newlineWavelet Transform (IWT) technique has been implemented to enhance imperceptibility, newlinecapacity and robustness of the stego image. Finally, a smart and novel random image newlinexix newlinesteganography has been proposed and implemented by optimizing the key size using newlinefrequency of the sinusoidal signal and pixel intensity. newlineThe effectiveness of all the implemented stego systems has been estimated by newlinecomputing eight different metrics namely number of bit errors, bit error rate, Mean newlineSquare Error (MSE), Peak Si