Medical video encryption using novel 2D Cosine-Sine map and dynamic DNA coding.

Area of Science:

• Computer Science
• Information Security
• Biomedical Engineering

Background:

• Healthcare systems generate vast amounts of sensitive patient data, including medical videos (ultrasound, CT, MRI).
• Secure storage and transmission of this medical data are critical challenges in modern healthcare applications.
• Chaos-based cryptosystems offer a robust solution for enhancing data security.

Purpose of the Study:

• To propose a novel 2D Cosine-Sine chaotic map with enhanced dynamic and hyperchaotic properties.
• To develop a new medical video encryption scheme by integrating the 2D Cosine-Sine map with dynamic DNA encoding.
• To evaluate the security and effectiveness of the proposed encryption scheme against various attacks.

Main Methods:

• A novel 2D Cosine-Sine map was developed, exhibiting a wider chaotic range and hyperchaotic behavior.
• A four-phase encryption scheme was designed: frame segmentation, chaotic sequence generation, pixel permutation, and diffusion using dynamic DNA encoding.
• Dynamic DNA encoding/decoding rules and operands were employed, selected using a random key for each frame to increase security.

Main Results:

• The proposed 2D Cosine-Sine map demonstrates superior chaotic characteristics compared to existing maps.
• The integrated encryption scheme effectively encrypts medical videos through pixel permutation and dynamic DNA operations.
• Security analysis and simulations confirm the scheme's resilience against diverse malicious attacks.

Conclusions:

• The novel 2D Cosine-Sine map provides a strong foundation for secure encryption.
• The proposed dynamic DNA encoding-based medical video encryption scheme offers enhanced security and robustness.
• This research contributes a secure and efficient solution for protecting sensitive medical video data.