Implementation of a Fuzzy-Based System for Assessment of Logical Trust Considering Reliability as a New Parameter

The human-to-human and human-to-devices communications are becoming increasingly intricate and unpredictable, which complicate the decision-making in different scenarios. So, many researcher are developing methods for assessing the trustworthiness of these kinds of communications. The Logical Trust (LT) is one crucial concept in trust computing that refer to the level of trust or confidence that an individual or system has in order to protect data, systems, or communications. In this paper, we introduce a Fuzzy-based system for evaluating LT, considering four parameters: Belief (Be), Experience (Ep), Rationality (Ra) and Reliability (Re), which is a new parameter. We evaluate the proposed system by computer simulations. We investigate the effect of each input parameter on the performance of the implemented system. The simulation results show the LT parameter increases when Be, Ep, Ra and Re are increasing. When Be and Ep values are 0.9 for all Ra and Re values, the LT values are more than 0.5, indicating that the people or devices are trustworthy.