An image partition security-sharing mechanism based on blockchain and chaotic encryption.

Area of Science:

• Computer Science
• Information Security
• Cryptography

Background:

• Existing image sharing methods lack granular control, often relying on basic cryptographic algorithms.
• Privacy concerns necessitate controlled sharing of specific image areas, not just entire images.

Purpose of the Study:

• To propose an efficient, area-level image sharing mechanism using blockchain and chaotic encryption.
• To implement fine-grained access control for private image regions while preserving user privacy.

Main Methods:

• Developed an Attribute-Based Access Control (ABAC) model with smart contracts for automated access.
• Integrated a Cuckoo filter for efficient retrieval of security attributes and policies on the blockchain.
• Designed an image-specific chaotic encryption scheme with attribute-based key generation and vector operation acceleration.

Main Results:

• The proposed mechanism achieves efficient, controlled, and privacy-preserving sharing at the area level.
• Attribute-based key generation significantly reduces the number of required encryption keys.
• Performance evaluation demonstrates lower time overhead compared to existing methods, especially with increasing image numbers.

Conclusions:

• The blockchain and chaotic encryption-based mechanism offers a robust solution for secure, fine-grained image sharing.
• This approach enhances privacy and efficiency in managing access to sensitive image areas.
• The system is scalable and outperforms current solutions in terms of time overhead.