Color medical image cryptography technology based on segmentation and fractional-order hyperchaotic system

Area of Science:

• Medical Imaging
• Cryptography
• Computer Science

Background:

• Medical image security is crucial for protecting sensitive patient data.
• Existing encryption methods may lack efficiency or robustness against sophisticated attacks.
• Integrating patient information securely into medical images is a significant challenge.

Purpose of the Study:

• To propose a novel and secure encryption method for color medical images.
• To embed doctor-patient information efficiently within medical image data.
• To enhance the robustness and security of medical image encryption against various attacks.

Main Methods:

• Utilizing mean shift clustering to segment medical images into lesion, detection, and edge areas.
• Employing discrete wavelet transform and singular value decomposition for doctor-patient information embedding.
• Applying a fractional-order hyperchaotic system for pixel encryption of lesion and detection regions.

Main Results:

• A novel color medical image encryption method was successfully developed.
• The proposed method demonstrated efficient embedding of doctor-patient information.
• Security analysis confirmed strong robustness and security against various attacks.

Conclusions:

• The developed encryption method offers a secure and efficient solution for color medical images.
• The integration of mean shift clustering and fractional-order hyperchaotic systems enhances encryption performance.
• The technique provides a reliable approach for protecting sensitive medical data.