Toward Secured IoT-Based Smart Systems Using Machine Learning

Machine learning (ML) and the internet of things (IoT) are among most booming research directions. Smart cities, smart campuses (SCs), homes, cars, early warning systems (EWSs), etc.; or it could be called “Smart x” implemented using ML IoT. Those will alter how various world entities communicate with one another. This paper spots light on significant roles IoT in SS. Also, focuses importance IoT-based Besides, an overview smartness is presented. Then, this offers benchmarking along a taxonomy that categorizes models into linear non-linear ones depending problem type (classification regression). Afterward, commonly utilized evaluation metrics provided. In addition, considers trust techniques used for mitigating different security aspects networks, which play crucial part regulating new era communication. Moreover, two case studies devoting SS, namely SC EWS, considered data collection manipulation guided Finally, presents effective recommendations ML’s earthquake EWS interested scholars.