Diagonal queue medical image steganography with Rabin cryptosystem.

Area of Science:

• Biomedical imaging
• Information security
• Computer science

Background:

• Sensitive patient data requires robust security measures during storage and transmission.
• Existing methods may lack sufficient security for confidential medical records.
• Brain disease medical images are valuable for diagnosis and contain sensitive patient information.

Purpose of the Study:

• To develop a novel and efficient image steganography method for biomedical data.
• To enhance the security of confidential patient information, specifically brain data, against unauthorized access.
• To ensure reliable storage and transmission of patient medical records within medical images.

Main Methods:

• Utilizing a diagonal queue least significant bit substitution technique for data embedding.
• Employing the Rabin cryptosystem for secure encryption of secret medical data.
• Organizing brain disease medical images into diagonal queues for dynamic embedding of encrypted data blocks and sub-blocks.

Main Results:

• The proposed method effectively hides sensitive medical records within brain MRI or scan images.
• Performance analysis using Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and embedding capacity demonstrated high security and reliability.
• The Rabin cryptosystem provides computational security against chosen-plaintext attacks.

Conclusions:

• The novel image steganography method offers a secure and efficient solution for protecting patient brain data.
• The integration of diagonal queues and the Rabin cryptosystem enhances data confidentiality and integrity.
• This approach is suitable for secure storage and transmission of sensitive medical information in the biomedical field.