A comprehensive secure system enabling healthcare 5.0 using federated learning, intrusion detection and blockchain.

ABSTRACT: Recently, the use of the Internet of Medical Things (IoMT) has gained popularity across various sections of the health sector. The historical security risks of IoMT devices themselves and the data flowing from them are major concerns. Deploying many devices, sensors, services, and networks that connect the IoMT systems is gaining popularity. This study focuses on identifying the use of blockchain in innovative healthcare units empowered by federated learning. A collective use of blockchain with intrusion detection management (IDM) is beneficial to detect and prevent malicious activity across the storage nodes. Data accumulated at a centralized storage node is analyzed with the help of machine learning algorithms to diagnose disease and allow appropriate medication to be prescribed by a med

SUBMITTER: Almalki J 

PROVIDER: S-EPMC10803090 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature