Fusion cryptography for secure medical data transmission using mathematical quantum computing operations.

Area of Science:

• Quantum Computing
• Cryptography
• Medical Imaging

Background:

• Increasing demand for secure medical data transmission.
• Need for advanced encryption techniques to protect sensitive patient information.

Purpose of the Study:

• To develop a fused cryptography framework integrating quantum computing and classical encryption for medical data.
• To enhance the security and efficiency of medical data transmission.

Main Methods:

• Integration of quantum principles (quantum walks, XOR operations, key image generation) with classical methods (bit-plane extraction, hyperchaotic scrambling).
• Decomposition of medical images into bit-planes, encrypting only high-information bit-planes (HIBPs).
• Application of quantum encryption including enhanced quantum representation encoding, Baker map scrambling, and quantum XOR diffusion.

Main Results:

• Achieved near-ideal entropy (7.9999) and correlation coefficient (0.0001).
• Demonstrated high resilience to noise attacks (98% plaintext recovery after 30% corruption) and clipping attacks (96% recovery after 25% clipping).
• Validated superior security and performance through extensive experiments.

Conclusions:

• The proposed fused cryptography framework offers robust and efficient security for medical data transmission.
• The integration of quantum and classical techniques provides a promising solution for safeguarding sensitive health information.