| Title | Securing Sensitive Data Through Corner Filters, Chaotic Maps and LSB Embedding |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Alexan, Wassim, Mamdouh, Eyad, Elkhateeb, Abdelrahman, Al-Seba'ey, Fahd, Amr, Ziad, Khalil, Hana |
| Conference Name | 2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES) |
| Date Published | oct |
| Keywords | chaotic communication, chaotic function, composability, corner detection, cryptography, Information security, measurement uncertainty, Metrics, Noise measurement, privacy, PSNR, pubcrawl, steganography, steganography detection, Three-dimensional displays |
| Abstract | This paper proposes 2 multiple layer message security schemes. Information security is carried out through the implementation of cryptography, steganography and image processing techniques. In both schemes, the sensitive data is first encrypted by employing a chaotic function. In the first proposed scheme, LSB steganography is then applied to 2D slices of a 3D image. In the second proposed scheme, a corner detection filter is first applied to the 2D slices of a 3D image, then LSB embedding is carried out in those corner-detected pixels. The number of neighboring pixels used for corner detection is varied and its effect is noted. Performance of the proposed schemes is numerically evaluated using a number of metrics, including the mean squared error (MSE), the peak signal to noise ratio (PSNR), the structure similarity index measure (SSIM), the normalized cross-correlation (NCC), the image fidelity (IF), as well as the image difference (ID). The proposed schemes exhibit superior payload capacity and security in comparison to their counterparts from the literature. |
| DOI | 10.1109/NILES53778.2021.9600536 |
| Citation Key | alexan_securing_2021 |
Securing Sensitive Data Through Corner Filters, Chaotic Maps and LSB Embedding