Intelligent Identification of Unauthorized Internet of Things Devices
Abdualrhman Ahmed, Khattab M. Ali Alheeti · 2022
Internet of Things (IoT) devices that connect to networks to provide complex and intelligent services must secure a user's address. The IoT must be protected from any abnormal connection because the increase in the number of connected devices is multiplying on a daily and fast basis, and because of the many risks, the network must be threatened from unauthorized devices from entering the network until after its identity matches the system. In this paper, we will work on creating a system based on machine learning that tracks the devices on the network and identify which devices are authorized and which may represent a threat.