Abstract

A large of smart nodes is connected in Internet of Things (IoT). These nodes in IoT often are resource-constrained nodes, so they have a greater need to collaborate with other nodes for performing advanced service and applications. When there are many providers who can provide similar collaboration service, a collaboration requestor (CR) node will have to make the decision of the “best” collaboration partner (CP). Many trust based approaches have been proposed to determine the “best” CP. However, there are limitations in the existing approaches. The first limitation is ignoring the cross-domain collaboration interactions exist among nodes. The second limitation is only considering a single objective formulation in which, the most trustworthy node are selected as the “best” CP. However, in fact the most trustworthy node does not always bring the “best” collaboration benefit. This paper proposes a multi-objective cross-domain collaboration management approach called MCCM in which collaboration benefit of CR node and trust value of CP node are considered as two optimization objects. We analyze MCCM performance in terms of trust accuracy, convergence, and resiliency against attacks. In addition, we also compare MCCM with trust based methods. Experiment results demonstrate that MCCM outperforms trust based collaboration partner selecting approaches in terms of collaboration partner prediction accuracy against recommendation attacks.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call