The integration of social networking concepts into the Internet of Things (IoT) has led to the so called Social Internet of Things paradigm, according to which the objects are capable of establishing social relationships in an autonomous way with respect to their owners. The benefits are those of improving the network scalability in information/service discovery when the IoT is made of huge numbers of heterogeneous nodes, similarly to what happens with social networks among humans. Within this

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... cenario, in this paper we focus on the problem of understanding how the information provided by the other members of the social IoT has to be processed so as to build a reliable system on the basis of the behavior of the objects. We define a subjective models for trustworthiness management starting from the solutions proposed for P2P networks. Accordingly, each node computes the trustworthiness of its friends on the basis of its own experience and on the opinion of the friends in common with the potential service providers. We employ a feedback system and we combine the credibility and centrality of the nodes to evaluate the trust level. Preliminary simulations show the benefits of the proposed models towards the isolation of almost any malicious nodes in the network.