DeepStego: Privacy-Preserving Natural Language Steganography Using Large Language Models and Advanced Neural Architectures

DeepStego: Privacy-Preserving Natural Language Steganography Using Large Language Models and Advanced Neural Architectures

Modern linguistic steganography faces the fundamental challenge of balancing embedding capacity with detection resistance, particularly against advanced AI-based steganalysis. This paper presents DeepStego, a novel steganographic system leveraging GPT-4-omni’s language modeling capabilities for secu...

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Bibliographic Details
Main Authors: Oleksandr Kuznetsov, Kyrylo Chernov, Aigul Shaikhanova, Kainizhamal Iklassova, Dinara Kozhakhmetova
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Computers
Subjects:
linguistic steganography
GPT models
natural language processing
information hiding
text generation
semantic embedding
Online Access:https://www.mdpi.com/2073-431X/14/5/165
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