A subjective model for trustworthiness evaluation in the social Internet of Things

Abstract

The integration of social networking concepts into the Internet of Things (IoT) has led to the so called Social Internet of Things (SIoT) 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 scalability in information/service discovery when the SIoT is made of huge numbers of heterogeneous nodes, similarly to what happens with social networks among humans. In this paper we focus on the problem of understanding how the information provided by the other members of the SIoT has to be processed so as to build a reliable system on the basis of the behavior of the objects. We define a subjective model for the management of trustworthiness which builds upon the solutions proposed for P2P networks. Each node computes the trustworthiness of its friends on the basis of its own experience and on the opinion of the common friends 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 model towards the isolation of almost any malicious node in the network

Security, privacy and trust in Internet of Things: The road ahead

“…When devices trust each other, they 550 prefer to share services and resources. This is the same idea emerged in [72] and [70]. Such a paper presents a Fuzzy approach to the Trust Based Access fuzzy set theory and formal semantics-based language to perform the layered trust mechanism, evaluated by using specific layer attributes (i.e., efficiency, risk, history).…”

“…A similar approach to provide a trustworthiness evaluation is carried out in [72] in the so called Social Internet of Things (SIoT). This paradigm derives from the integration of social networking concepts into IoT, due to the fact that age, gender, type of sensor), common goals and warrants, history of interaction, availability, interactions.…”

“…The challenge addressed in[72] is to build a reputation-based trust mechanism for the SIoTwhich can effectively deal with certain types of malicious behaviors aimed at misleading other nodes, in order to drive the use of services and information 525 delivery only towards trusted nodes. A subjective model for the management of trustworthiness is defined, which builds upon the solutions proposed for P2P networks, such as those proposed in [73] [74] [75] [76] [77].…”

A computational model to evaluate honesty in social internet of things

“…On the other hand, [8] and [14] are discussed about trust assessment of social networks based on concepts like community of interest, friendship, followers as well as frequency, duration and behavior of the objects, which provides a foundation for this research. Once the TAs are evaluated, a mechanism that combine these TAs must be investigated.…”

ConTrust: A Trust Model to Enhance the Privacy in Internet of Things

“…The leveling system based on fuzzy mathematics for making a decision on authentication ranking. Meanwhile, M. Nitti [8] proposed trust model based on trustworthiness computation from friends experiences and opinions of a node in IoT environment. Trustworthiness value is calculated from centrality, intelligence, node's direct experience, and opinion.…”