Studying the Resilience of Steganography Algorithms to Detection by Neural Networks
Journal: European Scientific e-Journal (Vol.40, No. 6)Publication Date: 2025-12-15
Authors : Dmitro L. Hasilin; Ihor M. Zhuravel;
Page : 87-95
Keywords : steganography; steganalysis; color space; deep learning models;
Abstract
Hasilin, D. L., & Zhuravel, I. M. (2025). Studying the resilience of steganography algorithms to detection by neural networks. Actual Issues of Modern Science. European Scientific e-Journal, 40, 87–95. https://doi.org/10.47451/tec2025-10-01
Other Latest Articles
- Algorithmic Governance, Trust, and the Transformation of Social Structures in the Digital Age
- Criteria for Evaluating Scientific Posters with Elements of Artificial Intelligence
- Theoretical and Methodological Foundations for Ensuring Continuity in National and Patriotic Education of Senior Preschoolers and Primary School Pupils
- Conceptual Approaches to Understanding Territorial Development Management in Modern Conditions
- Experience in Developing the Nomination “Historic Environment of the Capital of the Crimean Khans in the City of Bakhchisarai” for Inclusion in the UNESCO World Heritage List
Last modified: 2025-12-23 05:28:10
Share Your Research, Maximize Your Social Impacts


