Chaos based crossover and mutation for securing DICOM image

Area of Science:

• Cybersecurity
• Medical Imaging
• Applied Mathematics

Background:

• Secure transmission of sensitive medical data is crucial.
• Existing encryption methods may lack efficiency or robustness for medical images.
• Digital Imaging and Communications in Medicine (DICOM) images require specialized security protocols.

Purpose of the Study:

• To propose a novel, secure encryption scheme for Digital Imaging and Communications in Medicine (DICOM) images.
• To enhance the confidentiality and integrity of medical image data during transmission.
• To develop a cryptosystem resilient to various security attacks.

Main Methods:

• A novel chao-cryptic system combining logistic, tent, and sine chaotic maps.
• Bio-inspired crossover and mutation units for pixel permutation and diffusion.
• Generation of chaotic key streams from Combined Logistic-Tent (CLT) and Combined Logistic-Sine (CLS) systems.
• Decomposition of images and XOR operations with quantized chaotic sequences.

Main Results:

• The proposed scheme effectively confuses and diffuses DICOM image pixels.
• Security analyses including statistical, differential, key space, and attack resilience tests were performed.
• Experimental results demonstrate a desirable level of protection for medical image security.

Conclusions:

• The developed chao-cryptic scheme offers a robust solution for secure medical image transmission.
• The combination of chaotic maps and bio-inspired techniques enhances encryption security.
• The algorithm is suitable for real-time medical image security applications.