| Autor: |
Ramyashree, P. S. Venugopala, S. Raghavendra, B. Ashwini |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
IEEE Access, Vol 12, Pp 101166-101183 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2024.3430546 |
| Popis: |
Digital content, such as images, texts, and audio, are now easily accessible on the Internet in a digitalized manner that enables efficient storage and transmission. As information technology evolves concurrently, there has been more cases of cybercrime including data theft and data fabrication by other parties. A wide range of strategies and methods have been used to address these issues using steganography. Steganography is a technique used to prevent unauthorized access of sensitive data by hiding secret information inside digital media containers. This paper aims to investigate the challenges of safely embedding messages into medical images using two different steganographic techniques: Discrete Cosine Transform (DCT) and Least Significant Bit (LSB). An increasingly popular method for hiding sensitive data in the LSBs of pixel values, without causing any discernible deformation is LSB-based steganography. The process of Discrete Cosine Transform alters the structure of the image and embeds the data to enhance its robustness. The DCT and LSB steganography approaches were compared in this work based on the performance parameters. The performance of LSB and DCT methods can be measured by analyzing their SSIM, PSNR, and MSE values. After evaluating different techniques of data hiding in DICOM images, it was found that LSB steganography produces an SSIM value higher than DCT and shows better performance in terms of PSNR values. By observing the results of embedding text and PDF files in DICOM images, it was concluded that LSB steganography provides superior image quality compared to DCT steganography with a data capacity of 2.03 bpp. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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