Internet of Things (IoT), Internet of Robotic Things (IoRT), IoT Security (IoTS) and Machine Learning Algorithms: A Review Perspective


  • Odirichukwu, J . C Federal University of Technology, Owerri
  • Ndigwe, C dumegwu Ojukwu University, Uli (OOU)
  • Njoku, O . A Federal University of Technology, Owerri


Ambient Intelligence, Internet of things, Internet of Robotic things, IoT Security, Machine Learning



The purpose of this article is to critically review existing studies on the Intelligent systems (IoT), IoT and Robotics (IoRT), IoT Security (IoTS), and Machine Learning Algorithms in order to establish the foundation for a future study. A systematic literature review was conducted with 29 papers from different database sources collected. Intelligent homes, offices, buildings, cities, intelligent agriculture, and intelligent environment monitoring are just a few of the sectors that can benefit from IoT and IoRT applications that are currently available. The research, however, demonstrates that the major challenge of these cutting-edge technologies is the security issue. Therefore for maximum security in an IoT network, effective and efficient security and privacy protocols like confidentiality, authentication, access control, and integrity are needed. This study presents insight into IoT, IoRT, IoTS, and machine learning algorithms to academics, researchers, and students. Given the ongoing development and interest in IoT technologies, IoRT, and machine learning, this paper aims at contributing to extending knowledge in IoT, IoRT, IoT, and machine learning.