Semantic Compensation-Driven Low-Distortion Linguistic Steganography

Key Points

• The research aims to explore techniques for minimizing distortion while embedding information in text for steganography.
• Developed a framework for semantic compensation in linguistic contexts.
• Analyzed existing steganographic methods to reduce distortion.
• Implemented algorithms to embed data while maintaining readability.
• Achieved significant reduction in detectable distortion in text.
• Established a balance between data concealment and text integrity.
• Demonstrated effectiveness through various linguistic examples.