World Wide Web

Health care

Information sharing

Computer security

Server

Dissemination

The Internet

Telecommunications

Economics

Blockchain

Computer science

Business

Coronavirus disease 2019 (COVID-19)

Internet privacy

Information privacy

Alternative medicine

Social media

Political science

Infectious disease (medical specialty)

Information Dissemination

Medicine

Transmission (telecommunications)

Economic growth

Pandemic

Disease

Data sharing

Pathology

IEEE Journal of Biomedical and Health Informatics

Internet of medical things (IoMT) has made it possible to collect applications and medical devices to improve healthcare information technology. Since the advent of the pandemic of coronavirus (COVID-19) in 2019, public health information has become more sensitive than ever. Moreover, different news items incorporated have resulted in differing public perceptions of COVID-19, especially on the social media platform and infrastructure. In addition, the unprecedented virality and changing nature of COVID-19 makes call centres to be likely overstressed, which is due to a lack of authentic and unregulated public media information. Furthermore, the lack of data privacy has restricted the sharing of COVID-19 information among health institutions. To resolve the above-mentioned limitations, this paper is proposing a privacy infrastructure based on federated learning and blockchain. The proposed infrastructure has the potentials to enhance the trust and authenticity of public media to disseminate COVID-19 information. Also, the proposed infrastructure can effectively provide a shared model while preserving the privacy of data owners. Furthermore, information security and privacy analyses show that the proposed infrastructure is robust against information security-related attacks.

IoMT: A COVID-19 Healthcare System Driven by Federated Learning and Blockchain