Proposta de modelo de gestão de confiança para internet das coisas médicas

Abstract

In recent years, the Internet of Things (IoT) paradigm has been introduced, getting attention as an emerging technology, built upon pervasive connectivity of objects in heterogeneous networks. Medical environments are composed by many devices named objects that are able to interact with each other and collaborate in order to achieve a common objective (diagnosis, treatment, monitoring and patient rehabilitation). This scenario is characterized as Internet of Medical Things (IoMT) and one of its greatest challenges is to develop trustworthiness mechanisms to assure data exchanges in a certain level of credibility. This work proposes a model to manage trustworthiness for IoMT networks based on social network concepts and biomedical relevance criteria. The proposed model is based on a trust recommendation index, computed by a deterministic trustworthiness management protocol. To evaluate the model effectiveness, simulations were created with different IoMT scenarios. The model demonstrated to be useful to detect objects with suspicious behavior in the network, avoiding their relationships establishment and minimizing the IoMT damage during the data exchanges.