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A one-round medical image encryption algorithm based on a combined chaotic key generator.

Kumar D¹, Sudha V K², Ranjithkumar R³

¹P.A. College of Engineering and Technology, Pollachi, Tamil Nadu, India. dkumarpacet@gmail.com.

Medical & Biological Engineering & Computing

|November 8, 2022

Summary

This study introduces a secure single-round chaotic image encryption scheme for telemedicine medical images. The method enhances security using a combined chaotic key generator and permutation-diffusion structure for robust data protection.

Keywords:

Chaotic key generator Combined logistic-sine map Combined logistic-tent map Fractional order chaotic system Lorenz system Permutation and diffusion

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Area of Science:

Medical Imaging
Cryptography
Information Security

Background:

Secure transmission and privacy of medical images are critical in telemedicine.
Existing encryption methods may require multiple rounds, increasing complexity and time.

Purpose of the Study:

To propose a novel single-round chaotic image encryption scheme for enhanced medical image security in telemedicine.
To improve key sensitivity and generation for more robust encryption.

Main Methods:

A combined chaotic key generator (CCKG) was developed to produce initial seeds for fractional order chaotic system (FOCS) and Lorenz system (LS).
A permutation-diffusion structure was employed, utilizing zigzag transform (ZT) for block permutation and LS for overall permutation.
Diffusion was performed separately on odd and even image parts using random pixel matrices generated by LS and FOCS.

Main Results:

The proposed scheme demonstrated high security through secret key analysis, statistical analysis, and differential attack analysis.
Simulations confirmed the competence, robustness, and effectiveness of the single-round encryption process.
The CCKG significantly enhanced key sensitivity and generation, improving overall cipher image security.

Conclusions:

The single-round chaotic image encryption scheme provides a secure and efficient solution for protecting medical images in telemedicine.
The integration of CCKG, FOCS, and LS within a permutation-diffusion framework offers a robust defense against various attacks.
The proposed method is suitable for real-time telemedicine applications requiring high-level image data security.