Blockchain Enabled Federated Learning-Based Medical Cyber-Physical System

Internet of Things (IoT) and Machine Learning (ML) techniques enlightened several areas and started a new era in industry. One challenging area is the Healthcare sector. The ML changed the direction and sped up the Healthcare sector and the Healthcare sector became Smart Healthcare (SH). The Medical Cyber-Physical System (MCPS) is effectively used in SH and it has several privacy and security issues. In such scenarios, Federated Learning (FL) has shown another direction to handle several challenges and opened an area for research. Additionally, blockchain (BC) technology has made the FL network secure. Inspired by several works in this paper Blockchain enabled FL- based MCPS is proposed that is capable of mitigating different adversarial attacks, Distributed Denial-of-Service, Sybil, etc. The performance of the FL is measured using accuracy, mean squared error (MSE), sensitivity, and specificity. After the final round achieved accuracy is 86%, MSE is 0.14, sensitivity is 89%, and sensitivity is 85%.