A novel fuzzy logic-based image steganography method to ensure medical data security

Area of Science:

• Medical Imaging
• Data Security
• Steganography

Background:

• Medical data, including electroencephalogram (EEG) signals and magnetic resonance (MR) images, requires robust security measures.
• Current methods may not adequately protect sensitive patient information and optimize data storage and transmission.
• Integrating diverse medical data types into a unified, secure format is a significant challenge.

Purpose of the Study:

• To develop and evaluate novel steganographic techniques for securing combined medical data.
• To enhance the confidentiality and integrity of patient information embedded within MR images.
• To increase the data repository and transmission capacity for MR images and EEG signals.

Main Methods:

• Proposed two new image steganography methods based on fuzzy-logic and pixel similarity.
• Utilized non-sequential least significant bits (LSB) of image pixels for data embedding.
• Implemented lossless compression and symmetric encryption to secure the hidden message.
• Employed magnetic resonance (MR) images as cover media and electroencephalogram (EEG) signals as hidden data.
• Included doctor's comments and patient information in the file header.

Main Results:

• The proposed steganographic methods effectively secured patient information against unauthorized access.
• Evaluated stego image quality using metrics such as MSE, PSNR, SSIM, UQI, and R.
• Demonstrated increased data repository and transmission capacity for both MR images and EEG signals.
• Confirmed the confidentiality and integrity of the embedded medical data.

Conclusions:

• The developed steganographic approach provides a secure and efficient solution for medical data integration.
• The methods enhance data security and improve the overall capacity for storing and transmitting sensitive medical information.
• This technique offers a promising advancement in securing electronic health records and diagnostic imaging data.