Credit and honesty-based trust assessment for hierarchical collaborative IoT systems

Abstract

Trust assessment is a fundamental concept in the context of collaboration for large scale IoT systems. How to represent and measure appropriately the trust is a pursuit of many researchers. Many tasks, such as encryption and signature, can be accomplished perfectly by a collaborative process when a trust metric is well-defined. Trust is a widely used metric that is both effective and significative. This paper proposes a credit and honesty-based method for measuring hierarchical trust. Enhancing the credit of a good collaborator and the honesty of a good rater provides more precision in the management of the most trustworthy objects in the IoT. We have compared our proposal with the reviewed solutions in terms of time complexity, in which it demonstrates the best results.