Secure Medical Data Encryption Model using Hybrid Algorithms and DWT with CAPTCHA for Authentication

The growing use of digital health records and medical imaging has improved healthcare delivery but also intensified concerns over data security and patient privacy. Sensitive images such as MRI, CT, and X-rays, if compromised, can result in identity theft and unauthorized access. Traditional encryption methods often struggle to balance security, speed, and preservation of diagnostic quality. This study introduces a Rubik’s algorithm–based encryption technique that applies complex pixel permutations inspired by the Rubik’s cube. The method achieves strong non-linear transformations, ensuring confidentiality while maintaining diagnostic integrity. Results highlight its effectiveness for secure storage and transmission of medical images, providing a robust solution for healthcare data protection.