IJETEV1I1A012 – PRIVACY-PRESERVING MEDICAL IMAGE SHARING AND FEDERATION DISEASE DIAGNOSIS USING ECC WATERMARKING

ABSTRACT –  The rapid digitization of healthcare has increased the reliance on medical imaging for disease diagnosis. However, sharing sensitive medical images across scan centers, hospitals, and doctors poses significant privacy and security risks. In the current scenario, patient data and scan images are often transmitted or stored without strong identity protection, making them vulnerable to unauthorized access, tampering, and data breaches. Existing systems rely on traditional encryption of images or central storage of raw data, which can compromise privacy and violate regulatory compliance standards.Patient-controlled access is enforced by verifying the login ID against the watermark embedded in the scan image; ECC-secured federated learning, and controlled access mechanisms, the proposed system establishes a privacy-preserving, secure, and efficient framework for medical image sharing and distributed disease diagnosis