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Secure Steganography Based on GAN Image Morphing: Implementation and Analysis

Bozea, Diana-Alexandra (2023) Secure Steganography Based on GAN Image Morphing: Implementation and Analysis.

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Abstract:Steganography is the practice of concealing hidden data under a seemingly innocuous cover object. The necessity for secure transmission of sensitive information has become critical as digital communication has grown. Image steganography techniques, in which information is hidden in a digital image, are open to a variety of attacks that can compromise the security of the hidden message. This can occur if the steganography technology utilized is not strong enough to withstand certain attacks, such as picture compression, filtering, or other image alterations. Another issue is that some steganogra- phy systems have limited capacity, which limits the amount of information that can be buried within an image. To address these concerns, image mor- phing has been proposed as a viable method of improving steganography security. Image morphing is a technique for transforming one image into another through introducing transition frames between them. This paper aims to do a literature research on image morphing with image steganog- raphy and develop a new algorithm, named StegoMorph, based on DWT image steganography and GAN-based image morphing, as well as testing this new implementation against certain attacks such as statistical analysis and structural analysis. It will serve as a starting point for future research in this domain as a literature review, referencing the most relevant papers on the topic as well as propose a viable solution to enhancing steganography techniques in a novel way.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
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