Design and Implementation of a Steganography-based System that Provides Protection for Breast Cancer Patient's Data
Sewar Khalifeh, Jude Georgi, Shatha Shakhatreh · 2022
In recent years, several data breach attacks have occurred in the healthcare systems. These attacks violated the confidentiality of the Health Information System (HIS) and resulted in the exposure of a massive number of medical records. This paper aims to provide protection and privacy to the breast cancer patients' data, by using digital mammograms as the cover image in the steganography process. The steganography method used is the Least Significant Bit (LSB) was enhanced by integrating cryptography of the medical data using Advanced Encryption Standard (AES) and RSA encryption for the secret key. Also, the K-Means algorithm is used in the segmentation process of the mammogram to choose the image segment that is used in the hiding process. This paper resulted in enhancing the Mean Squared Error (MSE) values in the Stego-Images to reach 0.00257 and the Peak Signal to Noise Ratio (PSNR) to reach 78.79652 with 0% loss or manipulation in the medical data.