| Title | A Novel Laplacian of Gaussian (LoG) and Chaotic Encryption Based Image Steganography Technique |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Jan, Aiman, Parah, Shabir A., Malik, Bilal A. |
| Conference Name | 2020 International Conference for Emerging Technology (INCET) |
| Keywords | Biomedical imaging, composability, Edge Detection Technique, Encryption, Image edge detection, Image Steganography, Laplacian of Gaussian (LoG), logistic map, Logistics, Metrics, Payloads, privacy, pubcrawl, random sequence, steganography, steganography detection |
| Abstract | Information sharing through internet has becoming challenge due to high-risk factor of attacks to the information being transferred. In this paper, a novel image-encryption edge based Image steganography technique is proposed. The proposed algorithm uses logistic map for encrypting the information prior to transmission. Laplacian of Gaussian (LoG) edge operator is used to find edge areas of the colored-cover-image. Simulation analysis demonstrates that the proposed algorithm has a good amount of payload along with better results of security analysis. The proposed scheme is compared with the existing-methods. |
| DOI | 10.1109/INCET49848.2020.9154173 |
| Citation Key | jan_novel_2020 |
A Novel Laplacian of Gaussian (LoG) and Chaotic Encryption Based Image Steganography Technique