University of Hertfordshire

By the same authors

A Candour-based Trust and Reputation Management System for Mobile Ad Hoc Networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Original languageEnglish
Title of host publicationProcs of the 6th York Doctoral Symposium on Computer Science & Electronics
Subtitle of host publication(YDS 2013)
EditorsSam Simpson
PublisherUniversity of York
Publication statusPublished - 2013
Event6th York Doctoral Symposium on Computer Science & Electronics - York, United Kingdom
Duration: 28 Oct 2013 → …


Conference6th York Doctoral Symposium on Computer Science & Electronics
Country/TerritoryUnited Kingdom
Period28/10/13 → …


The decentralized administrative controlled-nature of mobile ad hoc networks (MANETs) presents security vulnerabilities which can lead to attacks such as malicious modification of packets. To enhance security in MANETs, Trust and Reputation Management systems (TRM) have been developed to serve as measures in mitigating threats arising from unusual behaviours of nodes. In this paper we propose a candour-based trust and reputation system which measures and models reputation and trust propagation in MANETs. In the proposed model Dirichlet Probability Distribution is employed in modelling the individual reputation of nodes and the trust of each node is computed based on the node’s actual network performance and the quality of the recommendations it gives about other nodes. Cooperative nodes in our model will be rewarded for expanding their energy in forwarding packets for other nodes or for disseminating genuine recommenda-tions. Uncooperative nodes are isolated and denied the available network resources. We employed the Ruffle algorithm which will ensure that cooperative nodes are allowed to activate sleep mode when their service is not required in forwarding packets for its neighbouring trustworthy nodes. The proposed TRM system enshrines fairness in its mode of operation as well as creating an enabling environment free from bias. It will also ensure a connected and capacity preserving network of trustworthy nodes

ID: 2813647