Steganlysis on data embedded medical image

Abstract

Cybercrime around the world is increasing day by day abruptly. Stego attack is one of the popular methods of transferring the message secretly through the cover medium. Most of the sources are using this process for covert communication. The paper discusses the importance and analysis of data hiding theft and covert communication process through steganalysis where it talks about the ”covered writing” in such a way that the mutation of an image is not discernible. The main motive of this paper is to attack and analyze the Digital Imaging and Communications in Medicine (DICOM) file format. The file format DICOM discussed in this research is mostly supported in the medical field. CT Scans and MRI Scans are widely used in hospitals to view the human body. The random pixels is chosen to hide the text on the DICOM formats and the performance is measured using different metrics. The proposed approach produces 100% recovery of the hidden text inside an image with maximum payload capacity.