Blockchain-Based Secure Biomedical Data-as-a-Service for Effective Internet of Health Things Enabled Epidemic Management

Abstract

The Medical Infrastructure-as-a-Service (MIaaS) allows the healthcare providers to share the often expensive and rare smart medical infrastructures to deal with a significant number of patients requiring medical expertise and achieve accurate and rapid diagnosis and treatment. However, in epidemics, many of these computational intelligence-based diagnosis systems require up-to-date trained machine learning models, which are dependent on receiving current data. In this chapter, the concepts of Biomedical Data as a Service (BDaaS) for providing real-time data for training the medical machine learning models, Model Training as a Service (MTaaS) for providing off-site training of machine learning models on Internet of Health Things (IoHT) and Computational-Intelligence-as-a-Service (CIaaS) for using the trained models are proposed and investigated, and a blockchain-based framework for secure BDaaS+MTaaS+CIaaS is proposed. The advantages of decentralized BDaaS+MTaaS+CIaaS are security, agility, cost-effectiveness, data quality, computational intelligence quality, data equality and computational intelligence equality. The proposed framework uses the blockchain network for secure decentralized transfer and sharing of biomedical data and machine learning models on IoHT. Different scenarios exploring the complex dynamics of COVID-19 pandemic and the applications of the proposed framework are investigated.