DNA Chaos Blend to Secure Medical Privacy

Area of Science:

• Computer Science
• Information Security
• Medical Imaging

Background:

• Protecting digital medical data during transmission is crucial due to fraud and forgery risks.
• High data traffic necessitates efficient methods for transmitting bulky medical images while maintaining security.

Purpose of the Study:

• To propose a hybrid encryption scheme adaptable for both selective and full medical image encryption.
• To enhance the security and efficiency of transmitting digital medical data.

Main Methods:

• A hybrid encryption scheme integrating deoxyribonucleic acid (DNA) computing and multiple chaotic maps.
• Generation of highly random keys using a combined chaotic system for encrypting color Digital Imaging and Communications in Medicine (DICOM) images.
• The algorithm employs three phases: permutation, encoding, and diffusion, with rule set selection based on key sequences.

Main Results:

• Experimental validation demonstrated the algorithm's resistance to statistical, differential, and brute force attacks.
• The proposed method effectively encrypts medical images, ensuring data security and integrity.
• The hybrid approach balances security needs with efficient data transmission.

Conclusions:

• The developed hybrid encryption scheme provides a secure and adaptable solution for medical image protection.
• The use of combined chaotic maps and DNA computing generates robust keys for enhanced encryption.
• The algorithm is suitable for protecting sensitive medical data in transit and for reuse in diagnostics.