Analyzing a Human-based Trust Model for Mobile Ad Hoc Networks
This paper analyzes a trust model for mobile ad hoc networks. The authors provide nodes with a mechanism to build a trust relationship with its neighbors. The proposed model considers the recommendation of trustworthy neighbors and the experience of the node itself. The interactions are limited to direct neighbors in order to scale on mobile networks. The results show the efficiency and the trade-off of their model in the presence of mobility. They also analyze the advantages of considering the relationship maturity, i.e. for how long nodes know each other, to evaluate the trust level. The maturity parameter can decrease the trust level error up to 50%.