Development of a model for the analysis of human behavior in a smart home environment

In modern times, it is impossible to imagine people’s lives without information technologies. The Internet, mobile phones, remotely controlled devices designed to perform various operations have become ordinary for people. Concepts such as smart city, smart home, cyber-physical systems and cloud technologies become an integral part of the information society. The concept of a smart home can be seen as an environment equipped with sensors, cloud computing and user directives. A smart home works on the principle of collecting all information about the house and its inhabitants from the bottom up, that is, sensors monitor all the behavior of people in and around the house. The data collected in these sensors is collected and processed to identify and predict daily life activities of the people in the house. Evaluating and predicting human behavior in a smart home environment is both interesting and important in studying society, managing e-government and ensuring its security. The article studies the approaches related to the analysis of human behavior in the smart home environment, the influence of cyber-physical systems on the behavior analysis, and the role in the formation and functionality of smart homes. It defines existing problems related to the security of smart homes, and proposes a new model for analyzing human behavior based on the sensed data. The model reveals the main features of each citizen’s behavior and allows for a more in-depth study of the socio-political and economic processes taking place in the society.