Fuzzy Logic Based Security Trust Evaluation for IoT Environments

In the new technological era called the Internet of Things (IoT), people, machines and objects communicate with each other via the Internet by exchanging information. In this context, trust plays an important role and is considered as a key factor in the success of the IoT services expansion. IoT services and applications use in some cases data concerning the privacy of their users. Consequently, users should trust the entities exchanging their personal information. In this paper, we present a framework that evaluates the security trust level of IoT nodes based on a Fuzzy Logic model using different input parameters such as Device Physical Security, Device Security Level and Device Ownership Trust. The proposed Fuzzy Logic model evaluates a trust level for each node as an output. Then, based on the threshold defined by users, the best node(s) in terms of trust level, is/are selected to collect information, which could be critical and concern privacy protection. Thus, the IoT service users are able to play an active role in selecting the trusted nodes (trust level greater than the threshold) to collect their data.