Block-Chain Based Multi-Layer Encryption Method for the Secure Storage of Healthcare Data in Cloud Environments

Remote diagnostic processes in electronic healthcare require patient health information. Hospitals, healthcare facilities, and insurance companies must all securely exchange this medical data as the demand to fully utilize them develops. However, maintaining the ownership and integrity of this data is difficult due to third-party access and potential manipulation. Standard cryptography systems may handle a variety of issues, including multitenant setups, secure key management, and real time data processing. By providing a multi-layered, machine learning (ML) based dynamic encryption solution intended for cloud environments, this contemporary cryptographic technique aims to overcome these issues. The proposed approach combines homomorphic encryption (HE), attribute based encryption (ABE), and blockchain-assisted key management (BAKM) into a single framework. The framework utilizes digital contrasts to facilitate access control, and data can only be accessed and interpreted by authorized entities. The recommended method provides a complete solution for protecting medical data in cloud environments while permitting safe and easy data sharing between patients, researchers, and hospitals, notwithstanding the
privacy trade-off. A secure and reliable digital healthcare environment is made possible by this strategy.