University of Twente Student Theses


Decisive Image Characteristics to Perform Image Steganography in DCT

Bravo de Medina Arribas, J. (2022) Decisive Image Characteristics to Perform Image Steganography in DCT.

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Abstract:Steganography is the practice of hiding secret information inside something that is no secret, for instance, an image, audio message or even text. These practices have long been used in communications since, at first glance, if one does not know there is data hidden, it is imperceptible; thus, to extract the information, mathematical methods to obtain this data need to be followed. For instance, steganalysis is the study attempting to detect hidden messages in steganography. This research paper analyses a generated image steganography dataset, composed of 21 images, to obtain the typical characteristics of images used in image steganography, such as picture size, colour (RGB, Grayscale) or the capacity of hidden message. The study focuses on the transform domain, more precisely Discrete Cosine Transform (DCT), performing image steganography on the dataset elements through several available image steganography tools to achieve such a purpose. Among the tools used in the research, there are M4JPEG, Jstego and F5. Besides, Aletheia was used as a steganalysis tool throughout the research. Furthermore, different types of secret data were hidden inside the 21 dataset images; among these, 3 images and 4 text files of distinct characteristics.
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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