Abstract
In the present day’s e-Healthcare applications, activity recognition system (ARS) is the most significant undertaking in remote checking of patients experiencing physical medical issues for taking quick action. The cloud is far away from data and it is not capable to handle huge bandwidth data due to network latency. The goal of the Fog computing is to decrease the data that needs to be transferred to the cloud for data processing, and to increase the efficiency. Fog computing improves the QoS and also reduces network bandwidth. All machine learning (ML) algorithm performances depend on the quality of the training data. If the training data is inadequate or it is modified by attackers, then ML algorithm would miss predict and give invalid results. As Blockchain is a decentralized model, it has attracted both industry and research nowadays. Blockchain data structure is practically difficult to forge. Hence, in this chapter, Fog is used to reduce the network bandwidth and blockchain is used to store training data to avoid forging.
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