Collusion-resistant reversible data hiding in encrypted domains (CR-RDHEI): A robust framework combining cross-domain neural prediction with divisor secret sharing and adaptive shape coding

Key Points

• Data hiding is enhanced using a collusion-resistant design and neural predictions, ensuring security.
• Key metrics indicate that the framework is effective in managing encrypted data across multiple domains.
• Assessment using a novel combination of cross-domain neural prediction and divisor secret sharing methods shows promising results.
• Highlights the importance of combining advanced data protection techniques to defend against potential attacks.