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

Na Wang1, Xiaochang Wang1, Aodi Liu1

  • 1PLA Information Engineering University, Zhengzhou, Henan, China.

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This study introduces a novel blockchain and chaotic encryption method for secure image sharing. It enables fine-grained, privacy-preserving access control for specific image areas, improving efficiency and reducing key management burdens.

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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.