An Efficient and Secure Framework for Enhancing Data and Model Security in Healthcare AI
The Artificial Intelligence (AI) enabled healthcare systems are require simultaneous defense of complex patient data and of the trained models. The paper proposes a dual-layer security architecture that combines AES-256 data encryption, homomorphic encryption (HE) for model protection, role-based access control (RBAC)...