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A plain-image correlative semi-selective medical image encryption algorithm using enhanced 2D-logistic map.

Bin Zhang^1,2, Bahbibi Rahmatullah¹, Shir Li Wang¹

¹Data Intelligence and Knowledge Management, Faculty of Arts, Computing and Creative Industry, Sultan Idris Education University (UPSI), Tanjong Malim, Perak Malaysia.

Multimedia Tools and Applications

|October 3, 2022

Summary

This summary is machine-generated.

A novel semi-selective medical image encryption algorithm offers a faster and more secure solution for transmitting and storing sensitive health data. This method enhances security by fully encrypting critical regions of interest.

Keywords:

Chaotic map Image encryption Medical image Partial encryption SHA-256 Selective encryption

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Area of Science:

Medical Imaging
Cryptography
Information Security

Background:

Modern medical imaging generates vast amounts of data, posing challenges for secure and efficient transmission and storage.
Existing encryption algorithms for general images are often slow and lack adequate security for sensitive medical data.
Medical images possess unique characteristics, such as distinct regions of interest (ROI) and background, which can be leveraged for optimized encryption.

Purpose of the Study:

To propose a novel plain-image correlative semi-selective medical image encryption algorithm.
To enhance the security and speed of medical image transmission and storage.
To achieve a balance between encryption efficiency and security by exploiting the characteristics of medical images.

Main Methods:

Developed an enhanced two-dimensional Logistic map-based encryption algorithm.
Implemented a semi-selective encryption strategy: full encryption for the region of interest (ROI) and partial encryption for the background.
Employed pixel-level permutation for the ROI and pixel-by-pixel substitution for the entire image.

Main Results:

Achieved a compromise between encryption speed and security.
Cipher-images demonstrated good visual quality, high information entropy, and low correlation between adjacent pixels.
The algorithm exhibited uniform histogram distribution, sensitivity to initial keys and plain-images, a large keyspace, and low time complexity.

Conclusions:

The proposed algorithm offers improved security compared to existing selective encryption methods.
It provides a faster encryption process than current full encryption algorithms for medical images.
The algorithm is suitable for secure and efficient handling of medical image data.