Industrial Automatic Control Systems and Controllers Annotation << Back Ensuring the Security of a Smart Home from Strangers Using Neuro-Fuzzy Technologies Lavrushina E.G., Adamyuk E.V., Sedova N.A. The article presents two approaches designed to ensure the safety of a smart home from unauthorized intrusion by outsiders. The fi rst approach involves developing a fuzzy model to determine the level of danger of penetration and the need to warn about illegal access. The second approach involves the additional use of neural network technologies. The work presents quality assessments for both approaches, while the results of a comparative analysis show the feasibility of using a neuro-fuzzy model to assess the level of illegal access to a smart home. The paper also presents the results of computer modeling of a neuro-fuzzy model, which made it possible to determine its optimal parameters, in particular, a list of the best membership functions (MF) for the formation of input linguistic variables is described, and for the formation of terms of the output variable it is proposed to use a hybrid learning method and the method of linear coeffi cients. Keywords: smart technologies, smart home, fuzzy model, membership function, adaptive neuro-fuzzy inference system, base of fuzzy production rules. DOI: 10.25791/asu.4.2024.1500 Pp. 25-31.