Decision making and partner selection based on trust in multi-context environment

Abstract

Currently there are exist many different trust models for different purposes. These models are often used for collaborative filtering to find partner for interaction in distributed systems. Most of these models simple uses decision making and partner selection approaches based on highest trust level selection method to choose an entity for an interaction.We assume that decision making and selection most reliable partner based on trust require more complex solutions because it is key aspect when evaluating an efficient trust model. In this article we compares two different kind of partner selection methods based on highest trust level selection and the roulette wheel selection.

Trust enforcement in vehicular networks: challenges and opportunities

“…Traditionally, trust is established among entities based on a sequence of interactions in a long‐term relationship [69]. Thereby, each entity determines whom to trust in advance, so that it can directly accept the data generated by those trusted entities, or determine the optimal partner to cooperate with [70, 71]. In a vehicular environment, the inherent high mobility makes it challenging to establish trust relationships among the entities themselves in a fully distributed manner.…”