IoT Device Identification: A Machine Learning Assessment

Abstract

Internet of Things (IoT) enabled applications to become an outstanding part of the everyday activities across all industries. IoT systems are prone to cybersecurity incidents due to lack of human observation on the system. Machine Learning (ML) offer robust solutions that can implement security mechanisms for IoT systems. The current paper proposes an implementation of a device identification system based on ML algorithms, a comparison between some ML algorithms and a comparison between three different hardware platforms that can be used to implement the device identification mechanism.