Conviction Management for Encounter-Based Routing in Interruption Lenient Networks

Abstract

Delay tolerant networks (DTNs) ar typically encountered in military network environments wherever end-to-end property isn't warranted because of frequent disconnection or delay. This work proposes a provenance-based trust framework, specifically PROVEST (PROVEnance-based Trust model) that aims to attain correct peer-to-peer trust assessment and maximize the delivery of correct messages received by destination nodes whereas minimizing message delay and communication value below resource-constrained network environments. root refers to the history of possession of a valued object or data. we tend to leverage the reciprocity between trait of knowledge supply and knowledge itself in PROVEST. PROVEST takes a data-driven approach to scale back resource consumption within the presence of sel?sh or malicious nodes whereas estimating a node's trust dynamically in response to changes within the environmental and node conditions. This work adopts a model-based methodology to judge the performance of PROVEST (i.e., trust accuracy and routing performance) exploitation random Petri Nets. we tend to conduct a comparative performance analysis of PROVEST against existing trust-based and non-trust-based DTN routing protocols to investigate the bene?ts of PROVEST. we tend to validate PROVEST employing a real dataset of DTN quality traces.