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Area of Science:

  • Medical Imaging
  • Information Security
  • Data Encryption

Background:

  • Medical images are crucial for diagnosis but vulnerable to malicious attacks during communication.
  • Existing reversible data hiding on encrypted images (RDHEI) schemes have limitations in embedding capacity and lack integrity/traceability mechanisms.

Purpose of the Study:

  • To develop an improved RDHEI scheme with higher embedding capacity for medical images.
  • To enhance the integrity and traceability of medical images using a blockchain-based system.

Main Methods:

  • A novel approach combining image block-wise encryption and histogram shifting for RDHEI.
  • Implementation of a blockchain-based system to store private information and image hashes for traceability.

Main Results:

  • The proposed RDHEI scheme achieves an embedding rate exceeding 0.8 bpp for typical medical images.
  • The blockchain system provides robust integrity verification and traceability for all communicated medical images.

Conclusions:

  • The novel RDHEI method significantly increases embedding capacity, addressing limitations of previous schemes.
  • The integration of blockchain technology ensures secure, traceable, and verifiable communication of sensitive medical data.