Vol.:(0123456789) 1 3 Journal of Ambient Intelligence and Humanized Computing https://doi.org/10.1007/s12652-019-01256-8 ORIGINAL RESEARCH Interest‑based trust management scheme for social internet of things Said Talbi 1  · Abdelmadjid Bouabdallah 2 Received: 24 October 2018 / Accepted: 15 February 2019 © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract The integration of social ties between IoT’s devices has facilitated the emergence of new paradigm named the Social Internet of Things SIoT. In this paradigm, social relationships can be established in autonomous way by objects creating virtual com- munities with shared interests. To facilitate the location of the desired interests and enhance the cooperation between SIoT’s devices, the trust systems have been proven to be an efective solution in such interconnected environment. In this paper, we propose an interest-based trust management scheme for SIoT. This scheme assesses the trust of SIoT’s devices according to the interest preferences of the trustor (i.e., assessor object). Moreover, it introduces a new recommendation system based on the similarity in terms of interest preferences between the trustor and the recommender (i.e., provides recommendation about the assessed object) to enhance the location of the desired services. Simulation results validate the convergence of the proposed trust mechanism, and show its gain in terms of transaction success rate. Keywords Internet of things · Social networking · Trust management 1 Introduction The IoT is a new era in connectivity and mobility which greatly impacts our daily life. The common objects in IoT become smart assets, integrate seamlessly with the global network, and are able to produce and share useful data without human intervention. The emergence of the IoT is the result of many innovations in the feld of wireless tech- nologies (e.g., smart phones, sensors, RFID). Potentialities ofered by the IoT make possible the development of many applications (e.g., transportation, healthcare, social domain, smart environment) that likely improve the quality of our life (Zemmoudj et al. 2018; Atzori et al. 2010; Tian et al. 2018). The IoT systems interconnect a great number of het- erogeneous objects. This has led to the apparition of new threats targeting the proper functioning of these systems (Wang et al. 2018; Tan et al. 2018). Traditional security mechanisms cannot be directly implemented in context of IoT due to the variant standards and communication proto- cols involved. Moreover, cryptography and authentication schemes cannot cope with insider attacks where malicious objects have access to valid cryptographic keys. And some- times some nodes may have abnormal behavior and generate bogus data due to the malfunction of their radio/sensors. Besides that, the great number of interconnected devices brings up the problem of scalability. Therefore, the trust paradigm can be used to deal with such situations (Nguyen et al. 2015; Køien 2011). In recent years, many of trust man- agement schemes were proposed to improve the exchanges between IoT’s devices. Among these schemes, those inte- grating social networking concept into IoT solutions. The resulting paradigm named SIoT has the potential to support efectively diferent services and applications operating in an interconnected environment (Atzori et al. 2011). The use of social networking paradigm in the IoT is gain- ing popularity. The idea is to establish social relationships between diferent IoT’s objects in an autonomous way with respect to their owners based on the history of their interac- tions. These relationships essentially concern the interests shared between objects which has led to the emergence of community-of-interest CoI as shown in Fig. 1. Social ori- ented solutions aim to facilitate the discovery, selection of * Said Talbi s_talbi@esi.dz Abdelmadjid Bouabdallah madjid.bouabdallah@hds.utc.fr 1 Université Mouloud Mammeri de Tizi Ouzou, LARI, 15000 Tizi Ouzou, Algeria 2 Sorbonne Universités, Université de Technologie de Compiègne, CNRS, Heudiasyc UMR 7253, CS 60 319, 60 203 Compiègne Cedex, France