Hybridized Hierarchical Watermarking and Selective Encryption for Social Image Security

Area of Science:

• Computer Science
• Information Security
• Social Media Analysis

Background:

• Rapid increase in social image sharing via cloud computing and social media platforms.
• Growing security risks including image forgery, piracy, and misappropriation.
• Urgent need for secure social image dissemination methods.

Purpose of the Study:

• To propose a secure scheme for social image dissemination on social media platforms.
• To map the tree structure Haar (TSH) transform with social network hierarchical community structure.
• To provide double protection for social images through encryption and watermarking.

Main Methods:

• Performing TSH transform on social images using social network analysis (SNA).
• Coding social media users using SNA.
• Applying watermarking and encryption in a compressed domain.
• Delivering content via a hybrid multicast-unicast scheme.

Main Results:

• The proposed scheme effectively protects social image dissemination.
• Combined encryption and watermarking offer enhanced security.
• Theoretical analysis and experimental results validate the scheme's effectiveness.

Conclusions:

• The developed scheme addresses the critical need for secure social image dissemination.
• Integration of TSH transform with SNA provides a robust framework.
• The hybrid delivery scheme ensures efficient and secure content distribution.