Year: 2024
Type: conference-paper
Abstract: The article presents a statistical analysis of steganographic algorithms applied to image and video containers. The study evaluates the performance, robustness, and detectability of various algorithms under different conditions. The research aims to provide a comprehensive understanding of the state of steganographic analysis by methodically presenting the most popular techniques. The findings serve as a valuable resource for further development and implementation of secure data embedding practices in digital media.
Source: Matteh ...
DOI: 10.46687/calv9734
Authors: RADOSTIN RAFAILOV, GEORGI VALCHEV
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405094205