In this paper, we propose a threat modelling approach to analyze and mitigate the botnet attacks in an IoT smart home use case.
Cryptography and Security Computers and Society
The security pitfalls of IoT devices make it easy for the attackers to exploit the IoT devices and make them a part of a botnet.
However, the performance of machine learning models in activity recognition is crucially affected when there are incomplete activities in a dataset, i. e., having missing samples in dataset captures.
Falling is a commonly occurring mishap with elderly people, which may cause serious injuries.