An encryption algorithm for multiple medical images based on a novel chaotic system and an odd-even separation...

Area of Science:

• Computer Science
• Information Security
• Medical Imaging

Background:

• Growing emphasis on data security in information technology.
• Medical images contain sensitive personal data, necessitating robust privacy measures.
• Unauthorized disclosure of medical images can have severe repercussions.

Purpose of the Study:

• To propose a novel multi-image medical image encryption algorithm using a new chaotic system (TLCMCML).
• To enhance both the security and efficiency of medical image encryption.
• To address the critical need for protecting sensitive patient information in digital medical records.

Main Methods:

• Introduction of a novel chaotic system named TLCMCML.
• Application of an independent scrambling technique on identified regions of interest (ROIs) using odd-even interleaving.
• Integration of multiple medical images via horizontal concatenation into a large-scale image.
• Implementation of a synchronized bit-level permutation-diffusion encryption mechanism on the integrated image.

Main Results:

• Extensive testing verified enhancements in security and efficiency.
• Information entropy analysis indicated high randomness and unpredictability of the encrypted images.
• Adjacent pixel correlation examination demonstrated a significant reduction in correlation, crucial for security.
• Differential attack simulations and robustness assessments confirmed the algorithm's resilience against common attacks.

Conclusions:

• The proposed multi-image medical image encryption algorithm, utilizing the TLCMCML chaotic system, offers exceptional encryption efficacy.
• The dual-pronged approach effectively balances high security with optimized encryption efficiency.
• The algorithm provides a robust solution for safeguarding the privacy of sensitive medical imaging data.