Medical Image Encryption Using Chaotic Mechanisms: A Study

Area of Science:

• Computer Science
• Information Security
• Medical Informatics

Background:

• Medical clinical images require high-level security due to their large data size.
• Existing encryption methods face challenges in real-time processing, key space, and computational complexity.
• Chaotic Medical Image Encryption (MIE) is an emerging strategy for secure medical data handling.

Purpose of the Study:

• To investigate fundamental frameworks for chaos-based MIE.
• To demonstrate multiple chaotic maps and robust chaos-based encryption techniques.
• To explore fast and simple chaotic system designs for MIE.

Main Methods:

• Review and demonstration of basic frameworks for chaos-based MIE.
• Illustration of various chaotic maps applicable to MIE.
• Analysis of technical notes, features, and effectiveness of chaos-based MIE strategies.

Main Results:

• Several chaos-based MIE frameworks, techniques, and system designs are presented.
• The study highlights the potential of chaotic maps for enhancing MIE.
• Security evaluation methods and design challenges for chaos-based MIE are explored.

Conclusions:

• Chaos-based MIE is a promising approach for securing medical images in various healthcare applications.
• Further research into innovative chaos-based MIE systems is encouraged to improve protection against attacks.
• The findings provide insights for developing advanced and secure medical image encryption solutions.