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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.