Survey of Secure IoT using Machine Learning Approach

The future Internet of Things (IoT) will have a deep economical, commercial and social impact on our lives.[1] The participating nodes in IoT networks are usually resource constrained, which makes them luring targets for cyber-attacks [1]. Internet of Things security is attracting a growing attention from both academic and industry communities. Indeed, IoT devices are prone to various security attacks varying from Denial of Service (DoS) to network intrusion and data leakage [2]. The disruptive acceleration of Internet of Things (IoT)is drastically modifying the current ICT landscape with a massive number of cellular IoT devices expected to be deployed in the next few years. IoT devices are taking over a variety of aspects of our current lives, such as health care, transportation, and home environments [2].