Internet of Things (IoT) is an emerging area in which we expect to have billions of devices connected to the Internet by 2020. IoT applications can offer many benefits to environments, society, and the economy through the interconnection and cooperation of smart objects. However, there are many privacy challenges, such as authentication, authorization, and confidentiality of personal data. With this in mind, we developed a solution for dynamically managing user profiles according to the characteristics of each environment. This solution is a module of a middleware named (Ubiquitous Privacy) and traces the frequency of the user in the environment to update its profile according to the environment's rules. The implemented module was validated using scripts that perform probabilistic simulation and user authentication. From the rules assigned to the simulated environments, it was possible to confirm the high adaptability of the implementation. We also verified that it could be easily adjusted to any IoT environment that wants to treat the authentication and privacy of environments and users.