Published Paper Details:

Recent advancements in smart cloud computing have yielded numerous advantages, particularly through innovations like the Internet of Things (IoT), which interconnects ordinary objects via the Internet. These IoT devices, equipped with sensors and actuators, collect and transmit data. However, maintaining the confidentiality of users' medical data is paramount, as any breach could endanger lives. To address this, attribute-oriented encryption (AOE) is commonly used for data security and access control. Yet, conventional AOE's processing demands are substantial. To tackle this, an efficient security approach merges AOE with Fully Homomorphic Encryption (FHE) to safeguard sensitive medical information and financial data. For cloud-based data encryption, AOE is a suitable choice for one-to-many communication and access control. Cloud servers can employ FHE to process encrypted data directly. Additionally, elliptic curve cryptography (ECC), known for its high security and compact key size, is integrated. This hybrid AOE-FHE-ECC approach offers reduced computational and storage burdens compared to existing methods. The proposed approach's security is supported by the Decisional Bilinear Diffie-Hellman postulate. Experimentation reveals its superiority, especially for resource-constrained devices, compared to traditional AOE.